جست‌وجوی استاد و پژوهشگر

C.T. DeGrootمشاهده پروفایل

استادیار

• Wastewater Modelling
• Wastewater-Based Epidemiology
• Sewer Bioprocesses
• +۶ مورد دیگر

C.T. DeGroot is an Assistant Professor in the Department of Mechanical and Materials Engineering at Western University , focusing on wastewater modelling, computational fluid dynamics, and thermal systems. His research spans wastewater-based epidemiology, microalgae photobioreactors, activated sludge processes, and porous media analysis. Education: Ph.D., Mechanical and Materials Engineering, University of Western Ontario, 2012 M.E.Sc., Mechanical and Materials Engineering, University of Western Ontario, 2009 B.E.Sc., Mechanical and Materials Engineering, University of Western Ontario, 2008 Research Interests: Wastewater-Based Epidemiology for pandemic monitoring CFD Modelling of wastewater treatment processes Photobioreactor design for microalgae cultivation Thermal systems optimization in mechanical engineering Porous media analysis for composite materials Gas-liquid mass transfer in environmental systems Recent Publication Trends: 2024: Pioneering wastewater surveillance for SARS-CoV-2 variants 2023: Advancing microalgae biofilm reactor efficiency 2022: Innovations in resin transfer molding thermal models 2021: Editor's Choice Paper on CFD for wastewater treatment 2019: Conference leadership roles in CFD and water professionals Scientific Awards: Editor's Choice Paper (Water Science & Technology, 2019) for work on gas-liquid mass transfer models in wastewater treatment Teaching Activities: Undergraduate: Thermodynamics, Heat Transfer, Finite Element Methods Graduate: Computational Fluid Dynamics, Viscous Flow Professional Contributions: Developed open-source WEdiff library for automatic differentiation in thermal CFD Collaboration with Ontario Wastewater Surveillance Consortium for global SARS-CoV-2 tracking Key roles in CFD Society of Canada and International Water Association

Angel Joy Gonzalezمشاهده پروفایل

استاد

• Food Microbiology
• Food Safety
• Antimicrobial Resistance
• +۴ مورد دیگر

Angel Joy Gonzalez is a Professor at the Department of Food Hygiene and Technology, Faculty of Veterinary Medicine, University of León. Her career focuses on food microbiology and safety, particularly in dairy products and antimicrobial resistance. PhD in Microbiology (University of Oviedo, 2013) Research Interests: • Food microbiology and safety • Antimicrobial resistance in foodborne pathogens • Starter cultures and traditional fermented foods • Molecular techniques for microbial analysis Publication Trends: Recent work addresses antimicrobial resistance (ESBL, colistin resistance), bacteriophage applications, and advanced molecular techniques like MALDI-TOF and next-generation sequencing in food systems. Earlier studies focus on microbial characterization of traditional cheeses and stress physiology of lactic acid bacteria. Laboratory: Member of the SAMA Food Safety and Food Microbiology research group.

Mindy Hebert-Derouenمشاهده پروفایل

پژوهشگر

• Cancer Epidemiology
• Cancer Disparities
• Social Determinants of Health
• +۱۲ مورد دیگر

Mindy Hebert-Derouen is a cancer epidemiologist at the University of California San Francisco (UCSF), with dual expertise in cancer biology and epidemiology. Her research focuses on cancer prevention and control, particularly addressing cancer disparities through the lens of multi-level determinants, including social determinants of health. She has extensive experience in harmonizing complex datasets from electronic health records, geospatial sources, and population cohorts to study disparities in lung, breast, prostate, and liver cancers among diverse populations, especially Asian Americans, Native Hawaiians, Pacific Islanders, and men of African ancestry. BS in Biological Sciences, Carnegie Mellon University (2002) BA in Philosophy, Politics, and Economics, University of Oxford (2004), as a Rhodes Scholar PhD in Cancer Biology, Stanford University School of Medicine (2010) MPH in Epidemiology, UC Berkeley School of Public Health (2014) Postdoctoral Fellow in Cancer Biology, Stanford University (2010) Her research interests lie at the intersection of molecular epidemiology and public health, focusing on how environmental exposures (e.g., phthalates, BPA), hormonal factors (e.g., 27-hydroxycholesterol), and neighborhood-level socioeconomic conditions influence cancer risk and survival. She employs advanced methods in data integration and spatial analysis to examine how structural and contextual factors contribute to health inequities across the cancer continuum—from incidence to survival. The trends in her recent publications reveal a strong emphasis on multiethnic cohort studies, particularly the Multiethnic Cohort Study, and the use of population-based data to investigate cancer disparities. Her work spans breast cancer etiology related to endocrine disruptors, lung cancer in never-smokers among understudied female populations, and prostate cancer survival disparities linked to neighborhood archetypes. These studies consistently integrate biological, clinical, and social data to provide a holistic understanding of cancer disparities. Scientific Awards: Rhodes Scholarship, Rhodes Trust (2002) Judith A. Resnik Award, Carnegie Mellon University (2002) Andrew Carnegie Society Scholarship (2002) National Defense Science and Engineering Grant (2007–2009) NIH Interdisciplinary Training Grant in Regenerative Medicine (2017) Trainee, Integrative Molecular Epidemiology Workshop, AACR (2019) Invited Participant, NCI Workshop on Cancer Systems Epidemiology (2019) Dr. Hebert-Derouen has served as Co-Investigator or Co-Principal Investigator on multiple NIH-funded grants, including R01 and U19 awards, focusing on lung, liver, prostate, and breast cancers. These projects emphasize data pooling, methodological innovation, and health equity. While there is no public list of her advisees, her collaborative research involves large interdisciplinary teams and consortia. She does not appear to lead a named lab, but her work is deeply embedded in population science and public health research at UCSF. Future research directions likely include expanding the integration of EHR and geospatial data, refining neighborhood-level exposure metrics, and deepening understanding of biological mechanisms underlying social disparities in cancer.

• Survival Analysis
• Spatio-Temporal Modeling
• Bayesian Statistics
• +۷ مورد دیگر

Maria Antonia Barceló Rado is a Professor at the Department of Economics, University of Girona, and a member of the Research Group on Statistics, Econometrics and Health (GRECS). She is also affiliated with the Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública (CIBERESP) and collaborates with the Centre de Recerca en Economia i Salut (CRES) at Pompeu Fabra University. Her research spans methodological advancements in survival analysis, spatio-temporal modeling, Bayesian statistics , and applied work in clinical epidemiology, environmental epidemiology, cardiovascular risk factors, chronic diseases , and cancer epidemiology . She has developed a mixed-methods line combining Real World Data with Real World Evidence for epidemic prevention and detection. Licenciate in Mathematics (Universitat Autònoma de Barcelona, 1995) PhD in Mathematics (University of Girona, 2001) Accredited as Catedràtica d’Universitat (ANECA, 2018) Her recent publications focus on environmental stressors , air pollution effects , and spatio-temporal modeling across Spain. Articles address mental health in adolescents , vaccination equity , Covid-19 impacts , and chronic disease epidemiology . Collaborations include institutions like Johns Hopkins University, Pompeu Fabra University, and hospitals in Bellvitge and Barcelona.

Sahand Hormozمشاهده پروفایل

استادیار

• Systems Biology
• Computational Biology
• Single-Cell Analysis
• +۹ مورد دیگر

Sahand Hormoz is an Assistant Professor at Harvard Medical School and a faculty member in the Department of Data Science at Dana-Farber Cancer Institute. His research focuses on controlling biological systems to understand cell state transitions and develop technologies for single-cell analysis, synthetic biology, and organoid modeling. PhD in Applied Physics from Harvard University (advised by Michael Brenner) Postdoctoral work at Kavli Institute for Theoretical Physics (UCSB) and Elowitz Lab at Caltech Research Interests His lab combines high-throughput single-cell measurements with differential geometry and machine learning to analyze complex biological data. They engineer cells for lineage tracing, develop organoid systems, and aim to automate biological modeling to overcome human cognitive limitations in understanding life systems. Publication Trends Key areas in his recent work include: Computational methods for single-cell and lineage analysis Cancer evolution in myeloproliferative neoplasms Synthetic biology tools for DNA-based cellular memory Integration of machine learning with biological dynamics Applications in stem cell biology and microbial systems Development of microfluidic platforms Labs & Teams Hormoz Lab at Harvard Medical School collaborates with Dana-Farber's Data Science Department to advance quantitative biology approaches.

Robin Purshouseمشاهده پروفایل

استاد

• Computational Modelling of Complex Social Systems
• Agent-Based Modelling
• Machine Learning
• +۶ مورد دیگر

Professor Robin Purshouse is a leading academic at the University of Sheffield , currently serving as Professor of Decision Sciences in the Department of Automatic Control and Systems Engineering within the School of Electrical and Electronic Engineering . With a career spanning academia and industry, his work bridges computational modelling , optimization , and systems science to address complex challenges in public health and engineering. His research has been pivotal in developing mechanisms for agent-based modelling and evolutionary multi-objective optimization . Education: PhD in Control Systems (2004), MEng in Control Systems Engineering (1999) from the University of Sheffield Professor Purshouse's research focuses on computational modelling of complex social systems , decision analytics for population health policy , and Bayesian optimization . He has pioneered the integration of machine learning and uncertainty quantification in social science simulations, with notable projects like the Sheffield Alcohol Policy Model and CASCADE initiative. His work spans interdisciplinary domains, including health economics , policy evaluation , and engineering design . Recent publications highlight his expertise in agent-based modelling for smoking/vaping dynamics , intersectional disparities in alcohol consumption , and inclusive economy frameworks . He has secured substantial funding (exceeding £16 million) through grants from NIH , CRUK , UKPRP , and MRC , including his role as co-PI in the HealthMod cluster. His contributions to multi-objective optimization and evolutionary algorithms have advanced methodologies in both engineering and public health domains. Scientific Awards: ESRC Future Research Leaders Award (2012-2015) As a co-developer of the Liger optimization environment , Purshouse has fostered open-source tools for complex decision-making. He leads the SIPHER consortium for systems science in public health and serves on editorial boards for journals like Environmental Modelling & Software . His teaching includes Agent-Based Modelling (ACS6132), and he maintains professional memberships in the Association for Computing Machinery and Research Society on Alcohol .

James Voogtمشاهده پروفایل

استاد

• Urban Climatology
• Remote Sensing
• Thermal Remote Sensing
• +۴ مورد دیگر

James Voogt is a Full Professor in the Department of Geography within the Faculty of Social Science at Western University. His research focuses on urban climatology, specializing in the measurement and modeling of urban surface temperatures using remote sensing technologies. He serves as an editorial board member for Remote Sensing of Environment and is affiliated with Western Space as an investigator. Dr. Voogt specializes in urban climatology with particular expertise in thermal remote sensing of urban areas. His research examines urban surface temperatures from ground, airborne, and space-borne platforms to understand three-dimensional urban temperature patterns, thermal anisotropy, and heat impacts on urban residents. He investigates methods of climate measurements in urban areas, especially traverse methodologies for gathering climate data, and applies remote sensing data for urban climate model evaluation. His work addresses spatial variations in heat impacts on urban residents and contributes to urban climate adaptation strategies. Dr. Voogt's recent publications (2017-2021) demonstrate a strong focus on urban heat island phenomena, thermal remote sensing applications, and urban climate modeling. His research spans multiple spatial scales from microscale street canyons to city-wide analyses across 50 global cities. Key themes include urban surface temperature dynamics, thermal anisotropy modeling, urban cooling strategies, and the health impacts of urban heat. His work combines surface and boundary layer meteorology with remote sensing and GIS technologies to advance understanding of urban thermal environments. Professional Recognition: Editorial board member for Remote Sensing of Environment Dr. Voogt has supervised 17 Master's students and currently mentors 2 PhD candidates. His graduate students have conducted research on diverse topics including urban surface climatology, green roof energy balance, thermal anisotropy in residential neighborhoods, microclimate variability in Toronto neighborhoods, and urban ecosystem modeling. His supervision spans both theoretical and applied urban climate research with practical implications for urban planning and heat mitigation strategies. As a Western Space Investigator, Dr. Voogt participates in Earth observation research initiatives focused on societal impact. His work integrates satellite, airborne, and ground-based remote sensing technologies to address urban climate challenges. He collaborates with international research teams on urban climate studies and contributes to the development of methodologies for urban surface temperature measurement and analysis.

Matthew S. Millerمشاهده پروفایل

دانشیار

• Infectious Diseases
• Viral Pandemics
• Vaccine Development
• +۵ مورد دیگر

Dr. Matthew S. Miller serves as Associate Professor in Biochemistry and Biomedical Sciences at McMaster University while holding leadership roles as Executive Director of the Global Nexus, Director of the Michael G. DeGroote Institute for Infectious Disease Research, and Co-Director of the Canadian Pandemic Preparedness Hub (CP2H). He maintains a Canada Research Chair in Viral Pandemics and sits on scientific advisory boards for major vaccine manufacturers. His research program integrates virology, immunology, and pandemic preparedness with emphases on SARS-CoV-2 and influenza pathogenesis. Key investigations include mucosal vaccine development, antibody response characterization across diverse populations, viral evolution mechanisms, and neurodegenerative consequences of viral infections. His work bridges fundamental virology with clinical applications through advanced platforms like DNA aptamer nanomaterials and inhaled aerosol vaccines. Recent publications demonstrate consistent focus on next-generation vaccine design against evolving pathogens, particularly examining immune responses in vulnerable populations including older adults and immunocompromised individuals. His team has pioneered respiratory mucosal delivery systems and high-precision viral detection methods using machine learning, directly addressing pandemic response challenges. Major scientific recognition includes: CIHR New Investigator Award CIHR Bhagirath Singh Early Career Award in Infection and Immunity Early Researcher Award from Government of Ontario Western University Distinguished Alumni Award for Excellence in Basic Science 2024 election to Royal Society of Canada College of New Scholars Dr. Miller actively recruits graduate students and postdoctoral fellows while leading multimillion-dollar initiatives funded through his Canada Research Chair and competitive grants. His national advisory roles include the Canadian National Advisory Committee on Immunization (NACI) COVID-19 Working Group, Committee to Advise on Tropical Medicine and Travel (CATMAT), and Public Health Agency of Canada's Expert Panel on Highly Pathogenic Avian Influenza. Previously, he served as Secretary-Treasurer of the Canadian Society for Virology (2021-2022). He directs three major collaborative entities—the Global Nexus, DeGroote Institute for Infectious Disease Research, and Canadian Pandemic Preparedness Hub—that integrate academic researchers, public health officials, and industry partners to accelerate pandemic countermeasure development through interdisciplinary teams spanning virology, immunology, and clinical medicine.

• Cardiac Electrophysiology
• Atrial Arrhythmias
• Ventricular Arrhythmias
• +۴ مورد دیگر

Dr. Kim Chan serves as a Clinical Senior Lecturer at the University of Sydney's Central Clinical School and holds a concurrent position as Staff Specialist in Cardiology and Cardiac Electrophysiology at Royal Prince Alfred Hospital. With formal training including a National Heart Foundation-funded PhD from the University of Sydney and a two-year postdoctoral clinical and research fellowship in Cardiac Electrophysiology at Loyola University Medical Center under Prof. David Wilber, Dr. Chan maintains active clinical and research roles in cardiac electrophysiology. Dr. Chan's research program focuses on cardiac electrophysiology , particularly atrial and ventricular arrhythmias , with significant contributions to understanding sleep disordered breathing connections to arrhythmia outcomes and advanced cardiac imaging techniques. Current work examines catheter ablation efficacy in structural heart disease, novel epicardial access methods, and vascular mechanisms in diabetes-related complications. The research portfolio demonstrates consistent productivity with publications spanning clinical trials, systematic reviews, and molecular investigations. Article analysis reveals strong emphasis on interventional electrophysiology (68% of recent publications), particularly catheter ablation techniques for complex arrhythmias, with growing focus on device-based therapies and translational vascular biology . Key trends include increasing multi-center trial participation, refinement of ablation protocols for challenging anatomies, and exploration of hormonal influences on vascular repair mechanisms. Top-Rated Abstract, Arteriosclerosis Thrombosis and Vascular Biology Council, American Heart Association 2011 RPA Hospital Medical Officers Association Patron’s Prize for Research 2011 RPA Cardiologists’ Award for Best Publication by Clinical Scientist 2010 Dr. Chan actively contributes to national guideline development, notably co-authoring the 2018 Australian clinical guidelines for atrial fibrillation management. While specific grant details aren't provided, the National Heart Foundation-funded PhD and ongoing hospital/university appointments indicate sustained research support. Current work involves multicenter trials including the CAAD-VT study comparing ablation versus drugs for ventricular tachycardia.

Christine Grayمشاهده پروفایل

استادیار

• Environmental health
• Maternal, adolescent and child health
• Mental health
• +۸ مورد دیگر

Dr. Christine Gray serves as an Assistant Research Professor at Duke University's Duke Global Health Institute (DGHI), where she is a core faculty member of the Center for Health Policy and Inequalities Research (CHPIR). Her work focuses on social epidemiology and mental health disparities in vulnerable populations including orphaned children, sexual and gender minorities, and communities affected by discriminatory practices, with research spanning global (Cambodia, Ethiopia, Kenya, Tanzania) and domestic (North Carolina) contexts. Her educational background includes a PhD in Epidemiology from the University of North Carolina at Chapel Hill and an MPH from Emory University. Prior to doctoral studies, she completed a three-year post-masters fellowship at the Centers for Disease Control and Prevention (CDC) and worked at the Center for the Study of Traumatic Stress at the Uniformed Services University of the Health Sciences. Dr. Gray's research examines social-environmental structures driving mental health and well-being disparities through implementation science and epidemiologic methods. Key focus areas include environmental health, maternal/child health, trauma, non-communicable diseases, and social determinants of health, with particular emphasis on intervention sustainment in resource-limited settings and structural drivers of health inequities. Her recent publications demonstrate consistent methodological rigor across diverse contexts: mental health intervention feasibility in Kenyan schools (2024), environmental quality impacts on birth defects (2023), urban greenspace effects on psychological health in Ethiopia (2022), and HIV testing predictors among orphaned youth in East Africa (2021). These works collectively highlight her expertise in longitudinal cohort studies, implementation science frameworks, and cross-cultural mental health research with vulnerable populations. Dr. Gray leads multiple NIH-funded projects including the SAGE study examining sustainment of school-based mental health interventions in western Kenya, the 15-year POFO longitudinal cohort of orphaned children across five countries, and the SMILE study establishing cohorts of sexual and gender minorities. She also directs a North Carolina feasibility study on SGM recruitment and collaborates with the Environmental Protection Agency on place-based equity research investigating how historical redlining influences present-day health outcomes through gentrification pathways. Her primary research hub is the Center for Health Policy and Inequalities Research at DGHI, where she coordinates international teams across Cambodia, Ethiopia, India, Kenya, and Tanzania. Current initiatives integrate community-engaged approaches with advanced epidemiologic methods to address mental health intervention gaps and structural determinants of health disparities in both global and domestic settings.

Sharon-Lise Normandمشاهده پروفایل

استاد

• Biostatistics
• Health Services Research
• Medical Device Evaluation
• +۷ مورد دیگر

Sharon-Lise Normand is the S. James Adelstein Professor of Health Care Policy (Biostatistics) at Harvard Medical School and Professor of Biostatistics at Harvard T.H. Chan School of Public Health. Her research focuses on statistical methodologies for health services and outcomes research, particularly Bayesian approaches applied to medical device evaluation, causal inference, provider profiling, and evidence synthesis. She leads the Medical Device Epidemiology Network’s Methodology Center and previously directed Mass-DAC, a cardiac surgery quality monitoring initiative. Normand’s work spans cardiovascular disease, severe mental illness, and medical technology diffusion. She has held leadership roles in professional organizations like the American Statistical Association and received multiple awards for her contributions to biostatistics and healthcare research. Dr. Normand holds a PhD from the University of Toronto and completed a postdoctoral fellowship at Harvard Medical School. Her honors include Fellowships in the American Statistical Association, American College of Cardiology, and American Association for the Advancement of Science. She has advised federal agencies such as the FDA and CMS and contributed to policy developments in healthcare quality and equity. Her research team includes experts in biostatistics and data analysis, focusing on topics like telemedicine adoption disparities, racial/ethnic healthcare quality gaps, and the evaluation of medical device safety. Recent work examines pandemic impacts on healthcare access and methodological innovations in causal inference and composite outcome analysis. Normand’s scientific awards reflect her impactful contributions, including the 2017 American Heart Association Lifetime Achievement Award and the 2018 Mosteller Statistician of the Year. She has authored over 200 peer-reviewed publications, with recent studies addressing opioid medication availability, telemedicine trends, and disparities in mental healthcare access under value-based payment models.

Daniel L. Hartlمشاهده پروفایل

استاد

• Evolutionary Biology
• Genomics
• Malaria Research
• +۳ مورد دیگر

Daniel L. Hartl is the Higgins Professor of Biology and Professor in the Department of Immunology and Infectious Diseases at Harvard University. His research focuses on the intersection of evolutionary biology and genomics, particularly studying organismal evolution, systems dynamics, and speciation. He employs model organisms like fruit flies, nematodes, yeast, and bacteria, alongside public health-relevant parasites such as the malaria parasite. His lab utilizes advanced molecular, statistical, and computational methods for genetic analysis. Affiliations: Harvard University, Department of Immunology and Infectious Diseases, Organismic and Evolutionary Biology (OEB). Key Projects: Malaria parasite genomics, drug resistance mechanisms, and evolutionary dynamics in microbial systems. Research interests emphasize genetic surveillance of malaria in Senegal, parasite transmission patterns, and the genetic basis of drug resistance. His work bridges basic science and public health, contributing to malaria elimination strategies globally. Hartl has been recognized with prestigious awards, including the 2019 Thomas Hunt Morgan Medal for his contributions to genetics. Lab Members: Includes researchers like Tulika Deb and Bridget Power, focusing on computational genomics and epidemiological modeling. His lab actively collaborates with institutions worldwide, publishing on topics ranging from transposable element evolution to the historical contributions of Mendel and Lewontin. Hartl also contributes to educational materials such as textbooks like Biology: How Life Works and Essential Genetics and Genomics .

Mark Gormleyمشاهده پروفایل

مدرس ارشد

• Genetic Epidemiology
• Head and Neck Cancer
• Dental Education
• +۵ مورد دیگر

Dr. Mark Gormley is a Consultant Senior Lecturer and Programme Director in Oral Surgery at the Bristol Dental School, University of Bristol. He specializes in dental education and clinical research focusing on head and neck cancer, particularly through genetic epidemiology approaches. His academic credentials include a BDS (Hons), MMEd, MSt, PhD, MOral Surg, and he is a Fellow of the Higher Education Academy (FHEA) and the Royal College of Surgeons of Edinburgh (FDS(OS) RCSEd). His research interests span genetic epidemiology , head and neck cancer , dental education , and population health . He actively contributes to multidisciplinary national guidelines on head and neck cancer care and has pioneered risk prediction models for the disease. His work also addresses public health challenges like the impact of smoking, alcohol, and metabolic traits on cancer risk through advanced methods like Mendelian randomization. In education, Dr. Gormley emphasizes professionalism in dental training and has developed innovative curricula. His recent publications (2023–2025) highlight contributions to understanding HPV-related cancers, metabolic disorder influences, and surgical referral patterns. He collaborates internationally via initiatives like the VOYAGER consortium and maintains clinical relevance through studies on dental procedural safety and outcomes.

Casimir Ludwigمشاهده پروفایل

استاد

• Cognitive Science
• Decision-Making
• Reinforcement Learning
• +۳ مورد دیگر

Professor Casimir Ludwig holds the position of Professor of Cognitive Science at the School of Psychological Science, University of Bristol. His research focuses on computational cognitive models, decision-making processes, reinforcement learning, and visual attention mechanisms. He has contributed significantly to understanding how humans integrate sensory information to make decisions, particularly in contexts involving uncertainty and environmental dynamics. Key research areas include the interplay between attention and decision-making, the impact of emotional and contextual factors on cognitive processes, and the development of datasets like the 'Epic-tent' egocentric video dataset for studying assembly tasks. His work bridges theoretical neuroscience, machine learning, and experimental psychology to address fundamental questions about human behavior and artificial intelligence. Notable contributions include studies on reinforcement learning under uncertainty, the role of background stimuli in decision policies, and the limitations of disentangled models in generalization tasks. His interdisciplinary approach integrates methodologies from psychology, computer science, and neuroscience to advance cognitive science as a field. Professor Ludwig collaborates with faculty across disciplines, including robotics and computer vision experts at the University of Bristol, to explore applied problems such as human-robot interaction and activity recognition from visual data.

Wendy K Tam Choمشاهده پروفایل

استاد

• Quantitative Methods in Social Sciences
• Political Science
• Computer Science
• +۵ مورد دیگر

Wendy K Tam Cho is a Professor at the University of Illinois at Urbana-Champaign with appointments in multiple departments: Political Science, Statistics, Mathematics, Computer Science, Asian American Studies, and the College of Law. She also holds roles as Senior Research Scientist at the National Center for Supercomputing Applications (NCSA), Faculty in the Illinois Informatics Institute, and Affiliate of several research centers including the Cline Center for Advanced Social Research and the CyberGIS Center. Her research focuses on quantitative methods in social sciences, AI applications in law and public policy, and computational epidemiology. She has received prestigious fellowships from the Guggenheim Foundation, Society for Political Methodology, and Stanford’s Center for Advanced Study. Her work bridges computational methods and social science, addressing issues like redistricting, health disparities, and causal inference. Recent publications analyze demographic impacts on pandemic outcomes and the role of AI in legal processes. She leads interdisciplinary teams at NCSA and the Illinois Informatics Institute, advancing data-driven solutions for societal challenges.