جست‌وجوی استاد و پژوهشگر

• Lymphoma
• Hodgkin Lymphoma
• Non-Hodgkin Lymphoma
• +۵ مورد دیگر

Jonathan W. Friedberg, M.D., M.M.Sc. is the Director of the Wilmot Cancer Institute and Professor in the Department of Medicine, Hematology/Oncology at the University of Rochester School of Medicine and Dentistry. He holds the Samuel E. Durand Chair in Medicine and leads one of the nation's premier lymphoma programs. Dr. Friedberg is internationally recognized for his expertise in lymphoma treatment, particularly in developing novel therapies and clinical trial approaches. Dr. Friedberg's research focuses on lymphoma, with particular expertise in Hodgkin lymphoma, non-Hodgkin lymphoma, Waldenstrom macroglobulinemia, and chronic lymphocytic leukemia. His work spans the entire treatment continuum from diagnosis through novel therapies including autologous stem cell transplantation and CAR-T cell interventions. He has built a comprehensive lymphoma program with expertise spanning hematopathology, radiation oncology, dermatology, and neurology, in addition to hematology and medical oncology. His research interests include developing risk-adapted treatment strategies, investigating novel therapeutic agents, and improving outcomes for patients with various lymphoma subtypes. Dr. Friedberg's extensive publication record demonstrates his leadership in lymphoma research, with recent work focusing on immunotherapy combinations, predictive modeling, risk stratification, and novel treatment approaches for various lymphoma subtypes. His research has significantly contributed to the understanding and treatment of lymphomas, particularly in developing more personalized and effective treatment strategies. Scientific Awards: Faculty Academic Mentoring Award (2012) Scholar in Clinical Research (2008) America's Top Doctors Selection (2008) Jacob Gitelman Award (2007) Lawrence A. Kohn Senior Teaching Fellow (2004-2006) Clinical Investigator Career Development Award (2003) Clinical Oncology Research Fellowship "Immunotherapy of Hodgkin's Disease" (2001-2003) Rising stars program for innovative research (2001-2003) As Director of the Wilmot Cancer Institute, Dr. Friedberg leads numerous clinical trials and research initiatives focused on advancing lymphoma treatment. He is actively involved in SWOG and has served in leadership roles for multiple clinical trials investigating novel therapies for lymphoma patients. His practice team includes Anna Morrison, R.N., and Kerri Hugelmaier, N.P., providing comprehensive care for lymphoma patients. Dr. Friedberg has established the Lymphoma Epidemiology of Outcomes (LEO) Consortium, a large observational cohort study supporting broad research on NHL prognosis and survivorship. His leadership extends to national organizations where he contributes to developing clinical practice guidelines and consensus recommendations for lymphoma treatment.

Cecilie Schou Andreassenمشاهده پروفایل

استاد

• Behavioral Addictions
• Social Media Psychology
• Workaholism
• +۳ مورد دیگر

Cecilie Schou Andreassen is a Professor at the Department of Clinical Psychology, University of Bergen . She specializes in behavioral addictions , including workaholism, social media addiction, and substance use interactions. Email: cecilie.andreassen@uib.no Visitor Address: Alrek Health Cluster, Årstadveien 17, 5009 Bergen Research Focus: Andreassen's work examines the psychosocial antecedents of addictive behaviors, with emphasis on personality traits , workplace dynamics , and digital platform interactions . Her research spans cross-cultural validation studies and longitudinal health outcomes related to technology and substance misuse. Article Trends (2017-2022): Analyzing 15 recent publications reveals a consistent focus on addiction scale validation , social media epidemiology , and workaholism's health impacts . Key themes include measurement invariance , digital-chemical addiction comorbidity , and psychological withdrawal mechanisms . Scientific Contributions: Co-developer of Bergen Work Addiction Scale Creator of Bergen-Yale Sex Addiction Scale Leadership in behavioral addiction epidemiology Recipient of Norwegian Research Council grants Advising & Collaborations: While no direct advisees are listed, Andreassen collaborates extensively with international researchers in work psychology , social media studies , and public health . Her work involves partnerships with Nottingham Trent University , Yale University , and National Competence Service for Sleep Disorders . Labs & Teams: Affiliated with the Department of Clinical Psychology and previously with the Department of Social Psychology at University of Bergen, she contributes to national health registry studies and cross-occupational research on addiction patterns.

Danielle T. Cooperمشاهده پروفایل

دانشیار

• Criminological Theory
• Substance Abuse & Delinquency Prevention
• Youths and Young Adults
• +۵ مورد دیگر

Danielle T. Cooper is an Associate Professor at the University of New Haven , affiliated with the Henry C. Lee College of Criminal Justice and Forensic Sciences and the Criminal Justice Department . She also serves as the Director of Research for the Tow Youth Justice Institute and Chair of the Criminal Justice Undergraduate Committee . Education Ph.D. in Criminology, Law, & Society, University of Florida, 2015 M.A. in Criminology, Law, & Society, University of Florida, 2011 B.S. in Justice Systems, Truman State University, 2009 Dr. Cooper’s research focuses on youths and young adults , juvenile justice policy reform , sex offender registration policies , and police-community dynamics . Her work emphasizes restorative justice , systemic equity , and prevention strategies for marginalized communities. Recent publications explore diversion programs , economic impacts of sex offender registries , and media narratives in criminal justice . Her awards highlight contributions to diversity, equity, and inclusion , as well as leadership development . Scientific Awards 2019 Faculty of the Year Award 2021 MO-KAN-NE TRIO Achiever Alumni Award 2021 Faculty Excellence in DEI 2022 Martin Luther King, Jr. Vision Faculty Award 2024 RAND Pardee Fellowship She has secured grants for diversionary services and youth-police relations , and her media commentary addresses youth violence , census participation , and social justice .

Karin Allor Pfeifferمشاهده پروفایل

استاد

• Physical Activity Measurement
• Childhood Obesity Prevention
• Exercise Physiology
• +۳ مورد دیگر

Karin Allor Pfeiffer is a Professor in the Department of Kinesiology at Michigan State University (MSU) and Director of the Institute for the Study of Youth Sports. She holds additional membership in the Center for Physical Activity and Health. With a Ph.D. from MSU, her research focuses on physical activity measurement methodologies and population health interventions, particularly among children and adolescents. Her work addresses obesity prevention, environmental design impacts on activity levels, and sociocultural factors influencing youth sport participation. Education: Ph.D. in Kinesiology from Michigan State University Her research interests emphasize: - Quantitative methods for physical activity assessment - Schoolyard redesign strategies and their health impacts - Cardiometabolic risk factors in pediatric populations - Longitudinal tracking of physical fitness and health outcomes Recent work explores accelerometer fragmentation metrics, GPS-linked activity tracking, and disparities in sedentary behavior across demographic groups. She has pioneered interdisciplinary approaches integrating spatial analysis, wearable technology, and policy evaluation. Key contributions include developing the Observational System for Recording Physical Activity in Children and advancing consensus methods for accelerometer data interpretation. Her studies frequently highlight socioeconomic and environmental determinants of health behaviors. Dr. Pfeiffer collaborates with public health agencies and urban planners to translate research into actionable policies. Her lab focuses on scalable interventions for underserved communities, leveraging community-engaged methods to address greenspace accessibility and safety concerns.

Ben Fischمشاهده پروفایل

استادیار

• Cryptography
• Distributed Systems
• Blockchain Technology
• +۵ مورد دیگر

Ben Fisch is an Assistant Professor of Computer Science at Yale University's School of Engineering & Applied Science. He is also the co-founder of Espresso Systems, a company focused on blockchain infrastructure. His research focuses on privacy and verifiability in decentralized systems like Bitcoin and Ethereum, with applications in digital finance and healthcare. Dr. Fisch received his B.A. from the University of Pennsylvania and completed his Ph.D. at Stanford University, where he worked with Dan Boneh in the applied cryptography research group. His educational background provided the foundation for his work at the intersection of cryptography, distributed systems, and economics. His research centers on leveraging cryptographic tools such as succinct non-interactive zero-knowledge proofs (zk-SNARKs), private information retrieval, and homomorphic encryption to address challenges in verifiable computation, verifiable storage, and verifiable fairness. He has made significant contributions to verifiable delay functions (VDFs) and proofs of replication, which have been adopted by major blockchain projects including Ethereum 2.0, Chia, and Filecoin. His work on Filecoin's Proofs of Replication has helped the network reach over 1.5 exabytes of storage capacity. His publication record shows a clear trend toward increasingly sophisticated cryptographic protocols for blockchain applications, with recent work focusing on data availability for Bitcoin rollups, efficient folding schemes for pairing-based arguments, and privacy pools with proof-carrying disclosures. His research bridges theoretical cryptography with practical implementations that have real-world impact in decentralized systems. His notable recognition includes: Best Paper Finalist at ACM CCS 2017 for 'Iron: Functional Encryption using Intel SGX' Dr. Fisch's research has led to significant technology transfer, most notably with his work on Verifiable Delay Functions (VDFs) sparking a multimillion dollar industry initiative through the VDF Alliance. His research on Proofs of Replication forms the basis of Filecoin's incentive layer and consensus protocol. His newer SNARK system Basefold is being used by several commercial products. He maintains active collaborations across academia and industry, with publications spanning top conferences in cryptography and security. As co-founder of Espresso Systems, Dr. Fisch leads a team developing next-generation blockchain infrastructure, particularly focusing on sequencing layers for rollups. His work bridges academic research with practical implementation, ensuring that theoretical advances in cryptography find real-world applications in decentralized systems.

• Pharmacoepidemiology
• Drug Safety
• Diabetes Mellitus
• +۳ مورد دیگر

Björn Pasternak is a Research Professor leading the Pharmacoepidemiology group at the Department of Medicine, Solna, Karolinska Institutet. His team specializes in large-scale registry studies focused on adverse drug effects, with research programs in pediatric pharmacoepidemiology, safety of diabetes medications, and rapid assessment of drug safety concerns. The group leverages high-quality epidemiological methods to inform evidence-based clinical decisions. Pasternak's research interests span pharmacoepidemiology, drug safety, diabetes outcomes, cardiovascular risk, and perinatal health. His work utilizes nationwide registries to evaluate real-world drug effects, socioeconomic disparities in treatment, and long-term outcomes of chronic therapies. Key focuses include GLP-1 receptor agonists, SGLT2 inhibitors, antibiotic use in pregnancy, and opioid safety. Recent publications demonstrate strong emphasis on Scandinavian cohort studies of diabetes medications (GLP-1 agonists, SGLT2 inhibitors) and their associations with thyroid cancer, liver events, intestinal obstruction, and cardiovascular/renal outcomes. Other trends include perinatal pharmacovigilance (antibiotics, acid-suppressive drugs) and neurodegenerative risks in athletes.

Richard J. Cookمشاهده پروفایل

استاد

• Statistical Methods for Public Health
• Life History Analysis
• Longitudinal Data Analysis
• +۷ مورد دیگر

Richard J. Cook is a University Professor and Mathematics Faculty Research Chair in the Department of Statistics and Actuarial Science at the University of Waterloo. He holds cross-appointments at the School of Public Health and Health Systems at the University of Waterloo and the Faculty of Health Sciences at McMaster University. Previously, he held a Tier I Canada Research Chair in Statistical Methods for Health Research from 2005 to 2019. His educational background includes: BSc in Statistics from McMaster University MMath in Mathematics from University of Waterloo PhD in Statistics from University of Waterloo Professor Cook's research focuses on developing and applying statistical methods for public health research. His primary areas of interest include the analysis of life history data, longitudinal data analysis, methods for incomplete data, clinical trial design, and multivariate analysis. His work provides critical methodological frameworks for understanding disease progression and evaluating interventions in complex health settings. He has made significant contributions to the development of multistate models for disease processes and methods for handling interval-censored data. His extensive publication record demonstrates consistent focus on methodological innovations addressing real-world health research challenges. Recent work emphasizes estimand specification in clinical trials, transportability of research findings, and causal inference methods. His research bridges theoretical statistics with practical applications in autoimmune diseases, transfusion medicine, and public health. Professor Cook has received significant professional recognition: Tier I Canada Research Chair in Statistical Methods for Health Research (2005-2019) Mathematics Faculty Research Chair at University of Waterloo His students have earned prestigious awards including multiple Pierre-Robillard Awards, ISCB Student Conference Awards, and ENAR Distinguished Student Paper Awards, with notable achievements like Dr. Shu (Joy) Jiang being named in the Forbes Top 30 Under 30 North America (2023) for Healthcare. Professor Cook has advised numerous graduate students throughout his career, with many going on to successful academic and industry positions. His research has been supported by various grants, and he collaborates extensively with researchers in rheumatology, transfusion medicine, and public health through affiliations with the Centre for Prognosis Studies in Rheumatic Diseases, the International Psoriasis and Arthritis Research Team, and the McMaster Centre for Transfusion Research. He leads a vibrant research team that includes research associates, post-doctoral fellows, and graduate students working on cutting-edge statistical methodology. His research group maintains strong connections with multiple institutions and research centers focused on health outcomes and disease progression.

• Longitudinal Data Analysis
• Time-to-Event Analysis
• Survival Analysis
• +۵ مورد دیگر

Alessandra Meddis serves as an Assistant Professor in the Section of Biostatistics within the Department of Public Health at the University of Copenhagen's Faculty of Health and Medical Sciences. Her academic work centers on developing and applying advanced statistical methodologies for longitudinal and time-to-event data analysis, with significant contributions to public health research in Denmark and internationally. Her institutional affiliation is clearly established through university contact details and departmental listings. Her primary research interests include correlated survival data analysis, competing risk modeling, informative cluster size methodology, causal inference techniques for observational studies, and environmental epidemiology applications. Dr. Meddis has developed specialized expertise in handling complex survival data structures while maintaining focus on real-world public health problems, particularly in HIV comorbidity patterns, environmental exposure effects, and pandemic-related mortality analyses. Her methodological innovations directly address challenges in clustered and censored data common across medical research domains. Analysis of Dr. Meddis's recent publication record reveals a consistent trajectory of high-impact interdisciplinary research spanning clinical medicine, epidemiology, and statistical methodology. Her work appears in leading journals across biostatistics, infectious diseases, and public health, demonstrating strong collaborative networks with clinical researchers and epidemiologists. Key thematic areas include HIV treatment outcomes, environmental health exposures, and critical care applications during the pandemic, with recent methodological papers advancing survival analysis techniques for complex data structures. Scientific Awards: No scientific awards were specified in the available institutional profile. Advising and Grants: The institutional profile does not provide details regarding graduate student supervision or specific research grant funding. Her collaborative publications suggest involvement in multi-investigator projects including the COCOMO HIV cohort study and pandemic-related research initiatives. Labs and Teams: Dr. Meddis is affiliated with the Section of Biostatistics within the Department of Public Health, though specific laboratory facilities or dedicated research teams are not described in the source material. Her extensive co-authorship patterns indicate active participation in multiple research consortia across medical specialties.

• Nuclear Magnetic Resonance (NMR)
• In vivo imaging
• MRI pulse sequence development
• +۷ مورد دیگر

Professor Guy Williams is a leading academic at the University of Cambridge with a focus on imaging science and clinical neurosciences, affiliated with Downing College and the Wolfson Brain Imaging Centre . Holding a PhD in Physics from his initial Natural Sciences degree, he specializes in nuclear magnetic resonance (NMR) and MRI techniques for brain imaging. Education: BA, PhD in Physics His research centers on non-invasive imaging of brain structure and function, particularly in traumatic brain injury (TBI) and dementia. His work involves developing novel MRI pulse sequences and advanced data analysis algorithms, including AI-based diagnostic tools. He leads studies on white matter integrity post-trauma, longitudinal dementia assessment, and applications of MRI in disorders of consciousness and addiction. Recent publications highlight collaborations in traumatic brain injury outcomes, AI-guided dementia prediction, and neuroimaging of post-COVID cognitive deficits. His team's work on ultra-high field laminar fMRI and distortion correction methods has advanced clinical neuroscience applications. Key techniques include diffusion tensor imaging (DTI), 7 Tesla MRI, and positron emission tomography (PET/MR). His research spans from basic NMR physics to clinical translation, with a strong emphasis on multi-site studies and real-world diagnostic implementation.

Stephen Meisenbacherمشاهده پروفایل

پژوهشگر

• Privacy-preserving Natural Language Processing (NLP)
• Differential Privacy
• Hybrid, Expert-Driven Classification Systems
• +۵ مورد دیگر

Stephen Meisenbacher is a Research Associate at the Technical University of Munich (TUM) , affiliated with the School of Computation, Information and Technology and the Department of Computer Science, I19 . He has been part of the Software Engineering for Business Information Systems (SEBIS) chair since March 2022. His research focuses on Privacy-Preserving Natural Language Processing (NLP) , Differential Privacy , and Privacy-Enhancing Technologies (PETs) , with a particular interest in their integration into software development and business applications. His work also explores Hybrid, Expert-Driven Classification Systems and Usable Privacy solutions. Stephen’s recent publications address trends in AI Privacy Risks , Text Rewriting with DP , Legal AI Use Cases , and Data Protection Compliance . He has contributed to GDPR-related research and PETs adoption in small enterprises. His teaching includes Natural Language Processing seminars and Software Engineering lecture courses for Master’s and Bachelor’s students at TUM. He also organizes Entrepreneurship for Small Software-Oriented Enterprises seminars. Stephen holds a Master’s in Informatics from TUM (DAAD Graduate Scholarship) and a Bachelor’s in Computer Science from the University of Notre Dame, with additional studies in German Language and Literature. Contact: stephen.meisenbacher@tum.de | LinkedIn

• Cardiovascular Disease
• Coronary Microvascular Dysfunction
• Invasive Coronary Function Testing
• +۳ مورد دیگر

Nida Latif is a Research Fellow in the Department of Internal Medicine at Yale School of Medicine. Her work focuses on understanding coronary microvascular dysfunction and ischemic heart disease in patients with nonobstructive coronary arteries, particularly in women. She is a key contributor to the DISCOVER INOCA multicenter registry, evaluating invasive coronary function testing protocols and diagnostic strategies. Her research integrates clinical, anatomical, and physiological data to improve diagnostic accuracy and patient outcomes. Key areas of investigation include coronary vasoreactivity testing, risk factor analysis in ischemic syndromes, and the impact of diabetes on angina pathophysiology. Latif's publications highlight advancements in coronary flow reserve measurement, comparison of diagnostic modalities (e.g., PET vs thermodilution), and the clinical utility of vessel-specific analysis. Her work emphasizes translational outcomes, bridging basic science insights with clinical practice improvements. While no specific awards are listed, her contributions to high-impact clinical registries and peer-reviewed publications reflect her active role in advancing cardiovascular medicine.

• Statistical Methods in Biomedical Research
• Biomarker Analysis
• Clinical Trial Design
• +۷ مورد دیگر

Todd A. Alonzo is a Professor of Research in the Department of Preventive Medicine at the University of Southern California . As Group Statistician for the Children's Oncology Group , he focuses on statistical methods for biomarker analysis, medical diagnostic testing, and clinical trial design in pediatric acute myeloid leukemia (AML). Education: B.S. in Statistics, California State Polytechnic University (1994) MS and PhD in Biostatistics, University of Washington (1997, 2000) Research Interests include: Development of statistical frameworks for diagnostic accuracy Genomic and proteomic profiling in AML Pharmacogenomic score systems for chemotherapy response Non-inferiority trial design in low-event-rate settings Health disparities in pediatric oncology Scientific Awards : Fellow, American Statistical Association (2018) Outstanding Teacher Award, International Society for Magnetic Resonance in Medicine (2017) NIH Predoctoral Cardiovascular Biostatistics Training Grant (1995) ENAR Biometrics Society Distinguished Student Paper Award (1999) WNAR Biometrics Society Best Student Oral Presentation (1999) Leadership & Service includes editorial board memberships (Biometrics, Pediatric Blood & Cancer, Biometrical Journal), reviewer for 30+ scientific journals, and roles on multiple Data Safety and Monitoring Boards. He served as President of the International Biometric Society Western Northern America Region (WNAR) in 2009.

Glenn Roismanمشاهده پروفایل

استاد

• Developmental Psychology
• Attachment Theory
• Social and Emotional Development
• +۱۲ مورد دیگر

Glenn Roisman is a Professor at the Institute of Child Development , University of Minnesota. He holds the Distinguished McKnight University Professor and Robert Holmes Beck Chair of Ideas in Education titles, reflecting his scholarly influence and teaching excellence. Education: PhD (2002), University of Minnesota Roisman’s research examines how early relationship experiences shape lifespan psychological, interpersonal, physical, and cognitive health . His work integrates longitudinal data from birth to adulthood, focusing on normative and atypical caregiving environments. Recent publications analyze the predictive validity of attachment assessments (Strange Situation, Adult Attachment Interview), genetic/environmental contributions to attachment styles, and pathways from early adversity to cardiometabolic health. His projects leverage data from the NICHD Study of Early Child Care and Youth Development , Minnesota Longitudinal Study , and Minnesota Twin Registry . Scientific Awards : Distinguished McKnight University Professor Robert Holmes Beck Chair of Ideas in Education Roisman’s collaborations with institutions like Pennsylvania State University and grants from NHLBI , NICHD , and NIA underscore his leadership in developmental science. He is open to advising new PhD students in 2026, emphasizing multi-method and multi-informant research approaches.

• Multiple Myeloma
• Lymphoma
• Thalassemia
• +۵ مورد دیگر

Professor Joy Ho is a Clinical Professor of Medicine at the University of Sydney’s Central Clinical School and a Senior Staff Specialist in Haematology at Royal Prince Alfred Hospital (RPAH). She serves as Director of Research and Head of the Multiple Myeloma Research Unit and Thalassemia/Haemoglobinopathy Unit at the Institute of Haematology, RPAH. Her research focuses on multiple myeloma, lymphoma, thalassemia, and iron metabolism, with a strong emphasis on clinical trials and translational medicine. She has led numerous multi-centre trials, including pioneering studies on CAR-T cell therapy for lymphoma and novel therapies for myeloma. Prof Ho’s education includes MB.BS. (Hons) from Sydney, D.Phil (Oxford), and fellowships from the Royal Australasian College of Physicians (RACP) and Royal College of Pathologists of Australasia (RCPA). She has held leadership roles in major hematology organizations, including the International Myeloma Working Group (IMWG) and the American Society of Hematology (ASH). Her international collaborations span Singapore, Thailand, and the United States. Her research interests include: Multiple Myeloma: Developing therapies targeting tumor microenvironment and immune modulation. Lymphoma: Pioneering CAR-T cell therapy in Australia. Thalassemia: Gene therapy and iron chelation advancements, including the landmark Northstar trial. Iron Metabolism: Investigating hepcidin and its role in transfusion-dependent anemias. Her recent publications highlight breakthroughs in CAR-T efficacy, myeloma biomarkers, and thalassemia management. Awards include the 2019 Sydney Local Health District Clinical Trial Award and election to the International Myeloma Society Board. She has secured over $2 million in grants for cutting-edge equipment and research. Prof Ho’s academic contributions extend to teaching and supervision, training fellows for RACP/RCPA certifications. Her leadership in national registries (e.g., Australian Haemoglobinopathy Registry) and guidelines (e.g., iron chelation protocols) underscores her commitment to advancing hematology care globally.

Iona Chengمشاهده پروفایل

استاد

• Cancer Epidemiology
• Genetic Epidemiology
• Racial/Ethnic Differences in Cancer Risk
• +۵ مورد دیگر

Iona Cheng is a Professor in the Department of Epidemiology and Biostatistics at the University of California, San Francisco (UCSF), where she conducts groundbreaking research in cancer epidemiology. She serves as co-Investigator of the SEER Greater Bay Area Cancer Registry and is Principal Investigator of multiple NIH- and foundation-funded projects examining genetics, lifestyle factors, and neighborhood characteristics in relation to cancer risk. Dr. Cheng has developed an extensive research program focused on racial/ethnic differences in cancer risk and leads population-based cancer surveillance studies that document variations in cancer incidence and mortality patterns across diverse racial and ethnic groups. University of California, Davis, BS, 1990–1994, Physiology Yale University, MPH, 1999–2001, Chronic Disease Epidemiology University of Southern California, PhD, 2001–2005, Epidemiology University of California, San Francisco, Postdoc, 2006–2008, Genetic and Molecular Epidemiology Dr. Cheng's research spans multiple disciplines within cancer epidemiology, with particular emphasis on understanding how environmental exposures, genetic factors, and social determinants interact to influence cancer risk and outcomes across different racial and ethnic populations. Her work frequently examines the impact of air pollution, endocrine-disrupting chemicals, and neighborhood characteristics on cancer development and survival. She has made significant contributions to understanding cancer disparities among Asian American, Native Hawaiian, and Pacific Islander populations, bringing attention to the unique cancer risks and outcomes within these understudied groups. Her research often leverages the Multiethnic Cohort Study, one of the largest prospective studies of cancer incidence and mortality across diverse racial/ethnic populations. Analysis of Dr. Cheng's recent publications reveals a consistent focus on environmental and social determinants of cancer risk across multiple organ sites. Her work demonstrates a sophisticated integration of epidemiological methods with environmental exposure assessment, genetic analysis, and health disparities research. Many of her studies examine the intersection of environmental exposures and racial/ethnic disparities in cancer outcomes, particularly regarding breast cancer, lung cancer, and other malignancies. She has published extensively on the impact of air pollution on cancer risk and survival, as well as the effects of endocrine-disrupting chemicals like bisphenol A, parabens, and phthalates. American Association for Cancer Research Scholar-in-Training Award (2007) National Institutes of Health Loan Repayment Award (2007) National Institutes of Health Loan Repayment Renewal Award (2009) American Association for Cancer Research Faculty Scholar Award (2011) National Institutes of Health Loan Repayment Renewal Award (2011) National Institutes of Health Loan Repayment Renewal Award (2013) American Journal of Epidemiology/Society of Epidemiology Research Top 10 manuscripts (2014) Cancer Prevention Institute of California Mentoring Award (2015) American Society of Human Genetics Top poster As Principal Investigator of multiple NIH-funded projects, Dr. Cheng oversees substantial research grants focused on cancer epidemiology and health disparities. Her work often involves large interdisciplinary collaborations with researchers across multiple institutions, including the Multiethnic Cohort Study which follows over 200,000 participants from diverse racial/ethnic backgrounds. She has demonstrated leadership in mentoring junior researchers, particularly those from underrepresented backgrounds in science, as evidenced by her Cancer Prevention Institute of California Mentoring Award. Her research program integrates data from cancer registries, electronic health records, and geospatial information to provide comprehensive insights into cancer patterns and risk factors. Dr. Cheng's research is closely connected to the UCSF Helen Diller Family Comprehensive Cancer Center and leverages collaborations with Lawrence Berkeley National Laboratory, which provides advanced technological resources for cancer research. Her work benefits from access to extensive cohort data, sophisticated exposure assessment methods, and interdisciplinary expertise in genetics, environmental science, and computational biology available through these institutional partnerships. She frequently collaborates with researchers studying the genetic and environmental determinants of cancer across multiple organ systems, contributing to a more comprehensive understanding of cancer etiology and prevention strategies.