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Arpan A. Patel, M.D. serves as Associate Professor in the Department of Hematology/Oncology at the University of Rochester School of Medicine and Dentistry. Board-certified in Hematology, Internal Medicine, and Medical Oncology, he specializes in lung cancer (including small cell, non-small cell lung cancer, and mesothelioma) and head and neck cancer through UR Medicine's comprehensive cancer program. His educational foundation includes: MD from Medical University of Lublin (Poland), 2012 Internal Medicine Residency at SUNY Upstate University Hospital, 2013-2016 Hematology & Oncology Fellowship at University of Florida College of Medicine, 2016-2019 Dr. Patel's research examines thoracic oncology, quality improvement, financial toxicity, patient distress, and medical education. His clinical philosophy emphasizes compassionate, patient-centered care addressing financial burdens and quality-of-life concerns through multidisciplinary teamwork. He actively conducts clinical trials to advance lung cancer treatment while documenting patient distress in veteran populations. His scholarly output reveals consistent focus on hematologic disorders, oncology documentation, and medical education innovation. Publications demonstrate expertise in rare hematologic conditions (HLH, PNH), anticoagulant management, and curriculum development for resident training - reflecting dual clinical strengths in hematology and oncology. Recognition includes: Chief Fellow Award and Craig S Kitchens Award for Mentorship (2019) Gold Humanism Honor Society inductions (2018, 2012) Multiple teaching excellence awards (2015, 2012) Quality improvement honors (2018, 2015) As an educator, he develops innovative curricula for oncologic documentation while mentoring residents. His work bridges clinical practice and scholarly inquiry through the University of Rochester's academic medical center. Dr. Patel collaborates within multidisciplinary oncology teams to deliver comprehensive cancer care through Accountable Health Partners network.

• Thoracic Oncology
• Lung Cancer
• Head and Neck Cancer
• +4 more

Cheryl Walker, Ph.D., is a Professor in the Departments of Molecular and Cellular Biology, Medicine, and Molecular and Human Genetics at Baylor College of Medicine. She serves as Director of the Center for Precision Environmental Health and Co-Leader of the Chromatin Biology Program at the Dan L Duncan Comprehensive Cancer Center. Her research focuses on gene-environment interactions, epigenomics, and the molecular mechanisms underlying diseases such as cancer, fibroids, and non-alcoholic fatty liver disease (NAFLD). Key areas include the role of chromatin remodelers like SETD2 in genomic stability and their dual functions in cytoskeletal dynamics. She has pioneered studies on how early-life environmental exposures, such as endocrine-disrupting chemicals (EDCs), reprogram the epigenome to increase disease susceptibility later in life. Dr. Walker’s work is funded by NIH and DOD grants, including leadership of the TaRGET II Consortium for environmental epigenomics. Her lab employs cutting-edge technologies like ChIP-seq and RNA-seq to study epigenetic reprogramming. Notable contributions include discoveries linking SETD2 methylation to microtubule stability and genomic integrity, and identifying epigenetic signatures of environmental exposures in health disparities research. Education: Ph.D. in Molecular Biology Affiliations: Baylor College of Medicine, Gulf Coast Center for Precision Environmental Health Her awards include election to the National Academy of Medicine and fellowships in the American Association for the Advancement of Science (AAAS) and American Thoracic Society (ATS). The lab actively collaborates on translational projects, including biomarker development and disaster-related health studies following events like Hurricane Harvey. Key Research Themes: Epigenetic drivers of cancer and fibrosis Environmental epigenomics and disease risk Chromatin-cytoskeleton cross-talk in disease

• Epigenomics
• Cancer Biology
• Molecular Genetics
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David Klindt is Assistant Professor at Cold Spring Harbor Laboratory, leading research at the intersection of biological systems and artificial intelligence. His lab investigates how brains process sensory information and generalize knowledge across contexts, studying neural representations to inspire robust AI models. Research combines computational neuroscience and machine learning to develop algorithms mimicking biological learning efficiency. Current projects examine latent computing in biological neural networks through dynamical systems frameworks, sparse coding principles in neural representations, and geometric organization in visual processing. His group develops methods for mechanistic interpretability, self-supervised learning identifiability, and compute-efficient inference. Recent publications analyze toroidal representations in grid cells, retinal feature detection, and Cryo-EM structure disentanglement. Dr. Klindt's work has been recognized through publications in Nature Communications, eLife, and NeurIPS. Before joining CSHL, he was a Machine Learning Research Scientist at Meta Reality Labs and postdoctoral researcher at Stanford University and NTNU. He holds a Ph.D. in Computational Neuroscience and Machine Learning from the University of Tübingen.

• NeuroAI
• Computational Neuroscience
• Sensory Processing
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Teresa Cheung is an Adjunct Professor in the Department of Engineering Science at Simon Fraser University’s Faculty of Applied Sciences. Her research focuses on neuroimaging techniques, particularly magnetoencephalography (MEG), and their applications to understanding brain networks in health and disease. She holds a Ph.D. in Physics from SFU (2012) and completed a postdoctoral fellowship at the University of Cambridge (2012–2013). Research interests include: MEG instrumentation and optically pumped magnetometers (OPM) Cortical-cerebellar networks and cerebellar activity localization Neuroimaging of neurological disorders like major depressive disorder and epilepsy Functional and structural connectome analysis across the human lifespan Multimodal integration of MEG, MRI, fMRI, and DTI data Recent work emphasizes the relationship between cardiovascular health, brain aging, and cognitive resilience. Her studies span clinical applications (e.g., depression biomarkers) and technical advancements in neuroimaging systems. Collaborations include multi-site studies on depression and aging cohorts like the Cam-CAN project. Publications highlight innovative methods in MEG system design, neural network dysfunction analysis, and lifespan brain dynamics. Her work bridges engineering, neuroscience, and clinical research to advance non-invasive brain imaging and neurophysiological understanding.

• Biomedical Engineering
• Neuroimaging
• Magnetoencephalography (MEG)
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Babak Taati is an Associate Professor at the University of Toronto (UofT), affiliated with the Department of Computer Science, Institute of Biomedical Engineering (BME), and Rehabilitation Sciences Institute (RSI). He holds the Barbara G. Stymiest Chair in Rehabilitation Technology Research at UHN and is a Senior Scientist at KITE, UHN's research arm. He is also a Vector Institute Faculty Affiliate. His work focuses on applying computer vision and machine learning to healthcare challenges, particularly in rehabilitation technologies for aging populations, gait analysis, fall prevention, and dementia care. Taati leads the Aging team at KITE and is affiliated with the Intelligent Assistive Technology and Systems Lab (IATSL) and the Computational Vision group. Research interests include noninvasive monitoring of health conditions such as Parkinsonism, sleep apnea, and pain management in older adults. His contributions span datasets like the Toronto NeuroFace Dataset and TOAGA archive, emphasizing clinical applications. Taati has taught CSC420 (Image Understanding) repeatedly and has organized workshops on topics like AI in dementia care and ambient intelligence in healthcare. His awards include the TRI-UHN Best Paper Award (2017) and the AMS Healthcare Fellow in Compassion and Artificial Intelligence (2021). He has advised students like Michael Li and collaborates on grants involving federal initiatives (e.g., FedDev Ontario). His research bridges theoretical computer science with practical healthcare solutions, addressing unmet clinical needs through vision-based systems.

• Computer Vision
• Healthcare Technology
• Artificial Intelligence
• +3 more

Ali Shojaie is a Professor of Biostatistics and Statistics at the University of Washington, serving as Associate Chair for Strategic Research Affairs in the Department of Biostatistics. He leads the Summer Institute for Statistics in Big Data (SISBID) and the Data Management and Statistics (DMS) Core for the UW Alzheimer's Disease Research Center. His research focuses on developing statistical and machine learning methods for high-dimensional data, with applications in genomics, neuroscience, and public health. Shojaie's work includes advancements in graphical models, Granger causality, and spatial statistics. He has contributed to methodologies for analyzing networks from time series and spatial data, with applications in understanding gene regulatory networks and brain connectivity. His recent projects involve NIH-funded grants exploring gene-phenotype associations using omic data and explainable machine learning for brain stimulation research. Scientific awards include the 2022 Leo Breiman Award from ASA's Statistical Learning and Data Science section, and election as a Fellow of the Institute of Mathematical Statistics (IMS) and American Statistical Association (ASA). He serves on editorial boards for journals like the Journal of the American Statistical Association and Biometrika. Shojaie advises numerous PhD students and postdocs, many of whom have secured academic and industry positions. His lab develops open-source software tools, including the netgsa and ngc packages for network analysis and Granger causality estimation.

• Biostatistics
• Statistics
• Machine Learning
• +4 more

Christopher Goyne is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of Virginia (UVA) and Director of the UVA Aerospace Research Laboratory. He holds a B.Eng. (1991) and Ph.D. (1999) in Mechanical Engineering from the University of Queensland, Australia. His research focuses on hypersonic propulsion, scramjet technology, instrumentation development, and advanced manufacturing. He leads the UVA Hypersonics Research Complex and is a key figure in the University Consortium for Applied Hypersonics. Goyne’s work includes contributions to NASA’s Hyper-X Program and the HyShot scramjet flight test program. He is an Associate Fellow of the AIAA and serves on editorial and advisory boards for journals and organizations such as the Shock Waves journal and Virginia’s Aerospace Advisory Council. Education: B.Eng. (Mechanical Engineering, University of Queensland, 1991); Ph.D. (Mechanical Engineering, University of Queensland, 1999). Research Interests: Hypersonics and scramjet propulsion Diagnostic techniques (e.g., laser-based methods, optical emission spectroscopy) Wind tunnel and flight testing Controls and adaptive systems for hypersonic flow paths Advanced manufacturing for aerospace components Awards: Recipient of the 2023 James C. McDaniel Fellow Award and 2022 Outstanding Researcher Award. Holds leadership roles in AIAA committees, including past Chair of the HyTASP Program Committee. Recognized with the Sigma Gamma Tau Outstanding Aerospace Professor Award (2006) and multiple research fellowships. Grants and Projects: Funded by NASA, the Air Force Office of Scientific Research, and industry partners. Leads UVA’s contributions to hypersonic ground and flight testing, including sensor development and combustion efficiency studies. Labs and Teams: Directs the UVA Aerospace Research Laboratory, collaborating on projects such as the UVA Hypersonics Research Complex and the University Consortium for Applied Hypersonics. Advises student chapters of AIAA and Sigma Gamma Tau.

• Hypersonics
• Scramjets
• Instrumentation and Laser Diagnostics
• +5 more

Bärbel Finkenstädt Rand is a Senior Tutor at the Warwick Medical School , University of Warwick, with extensive research contributions at the intersection of statistics, machine learning, and biomedical sciences. Her work focuses on developing advanced methodologies for analyzing temporal and spatio-temporal data, particularly in circadian rhythms and disease dynamics. Research Themes : Bayesian inference, Hidden Markov Models, circadian rhythm stability, transcriptional bursting, and wearable sensor data analysis. Collaborations : Chronotherapy Group at Warwick, Université Paris-Saclay, and interdisciplinary teams across medicine, genetics, and computational biology. Publications reveal a strong emphasis on circadian health monitoring, gene expression dynamics, and epidemic modeling using stochastic frameworks. Her recent work prioritizes personalized medicine applications through telemonitored biomarkers and IoT platforms . Methodological Innovations include spline-based HMMs, distributed delay systems, and harmonic modeling for nonstationary time series. Applications span oncology, sleep medicine, and population ecology.

• Statistical Methodology
• Machine Learning
• Bayesian Inference
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Francesca Chiodi is a Senior Professor in the Department of Microbiology, Tumor and Cell Biology at Karolinska Institutet, Sweden. Her research focuses on HIV pathogenesis, host-microbe interactions, and immune responses in infectious diseases. She holds a Docent title from Karolinska Institutet (1991) and has been continuously employed there since 2004. Her work spans virology, immunology, and clinical trials, with emphasis on HIV prevention strategies, mucosal immunity, and translational research. Research highlights include studies on HIV pre-exposure prophylaxis (PrEP), host gene expression in foreskin tissue, and viral surface protein epitope profiling. She has led projects evaluating SARS-CoV-2 responses in mucosal tissues and contributed to global initiatives like the CHAPS study in sub-Saharan Africa. Her division, the Division of Host-Microbe , investigates microbial pathogenesis and immune mechanisms in chronic infections. Key collaborations include studies on B-cell dysfunction in HIV and TB co-infections, as well as vaccine design for immunocompromised populations. Publications (2020–2024) reflect her focus on clinical trials, transcriptomic analyses, and translational models. She has advised numerous collaborative studies but no formal student advisees are listed. Research funding includes grants for mucosal HIV prevention and SARS-CoV-2 pathogenesis studies. Ongoing work explores immune reconstitution in early antiretroviral therapy and correlates of protective immunity in mucosal tissues.

• Virology
• Immunology
• HIV Research
• +3 more

David S. Matteson is a Professor and Associate Department Chair in the Department of Statistics and Data Science at Cornell University. He holds affiliations with the Bowers College of Computing and Information Science, the ILR School, the Center for Applied Mathematics, and the Program in Financial Engineering. His research focuses on developing statistical and machine learning methodologies for complex systems, with applications in finance, environmental science, healthcare, and nanotechnology. He received his PhD in Statistics from the University of Chicago and a BSB in Finance, Mathematics, and Statistics from the University of Minnesota. His awards include the NSF CAREER Award (2015), SUNY Chancellor’s Award (2022), and Fellowships from the Institute of Mathematical Statistics and American Statistical Association (2024). Research interests span theoretical methods like changepoint analysis, high-dimensional time series, and functional data, alongside applied domains such as systemic risk, climate change, and medical imaging. He leads major NSF-funded initiatives including the PRISM Institute for Trans-domain Systemic Risk and the TRIPODS Greater Data Science Cooperative Institute (GDSC). Editorial Roles: Founding Editor-in-Chief of Data Science in Science , Associate Editor for Journal of Econometrics , and former editor for multiple statistical journals. Leadership: Chair of the ASA’s Business and Economic Statistics Section (2024), Director of the National Institute of Statistical Sciences (NISS). Grants: PI/Co-PI on NSF and USAID projects addressing systemic risk, energy systems, and poverty estimation.

• Data Science
• Statistics
• Machine Learning
• +7 more

Associate Professor Andre Kyme is an academic staff member in the School of Biomedical Engineering at The University of Sydney. His research focuses on developing enabling technologies for biomedical imaging, including motion compensation in MRI/PET, robotic platforms for image-guided therapy, and cross-disciplinary applications like plant salt uptake analysis using PET. He collaborates with institutions globally and advises students on projects like lameness detection in horses and AI-based motion correction. Research Interests: Kyme's work spans motion correction in medical imaging modalities, medical robotics integration with imaging systems, and innovative applications of imaging technologies in non-traditional fields. His team emphasizes leveraging advancements in computer vision, machine learning, and instrumentation to improve imaging performance and accessibility. Recent Projects: Current research includes MRI-compatible robotic platforms for therapy applications, AI-driven lameness detection in horses, and pediatric neuroimaging improvements. He leads the BREEZE initiative to enhance MRI accessibility for children with cerebral palsy through eye-gaze communication technology. Publications: His work spans 20+ years with over 50 peer-reviewed publications in journals like Physics in Medicine and Biology and IEEE Transactions. Key areas include PET/SPECT/CT motion correction algorithms, robotic systems for medical imaging, and novel imaging applications in plant science. Teaching: Kyme instructs core biomedical engineering courses including thesis supervision and capstone projects at both undergraduate and postgraduate levels. Labs/Teams: Active in the Brain and Mind Centre and Biomedical Imaging, Visualisation and Information Technologies groups at Sydney. Collaborates with industry partners like TeleMedVet and academic institutions including University of California Davis and Chinese University of Hong Kong.

• Biomedical Imaging
• Medical Imaging Physics
• Motion Compensation in Imaging
• +5 more

Jinsang Kim is a Professor in the Department of Materials Science and Engineering at the University of Michigan, with affiliations in Biomedical Engineering (BME). His research focuses on bio-micro/nanotechnology, bio-nanomaterials, and biomedical imaging technologies. He specializes in developing advanced materials for applications such as retinal hypoxia detection, organic light-emitting diodes, and sensor technologies. His work integrates polymer chemistry, organic electronics, and biomedical engineering to create innovative materials for medical diagnostics, optoelectronics, and nanotechnology. Key research areas include surface functionalization strategies, organic phosphorescent nanosensors, and stimuli-responsive materials. Kim’s publications emphasize cutting-edge advancements in organic phosphorescence, polymer design for high thermal conductivity, and biomedical imaging tools. His contributions span from fundamental material science to applied biomedical solutions, with a focus on translating discoveries into practical applications.

• Bio-Micro Nanotechnology
• Bio-Nanotechnology
• Biomedical Imaging
• +4 more

Dr. Alexis Garcia is a Clinical Assistant Professor in the Department of Psychiatry and Behavioral Sciences at the Medical University of South Carolina (MUSC). She holds a PhD in Clinical Psychology from Florida International University with a specialty in child and adolescent psychology. Her postdoctoral training included a National Institute of Alcohol Abuse and Alcoholism (NIAAA) fellowship focusing on adolescent alcohol use. Dr. Garcia is affiliated with MUSC's College of Medicine and actively participates in the MUSC Youth Collaborative, focusing on self-regulation mechanisms related to substance use in adolescents, particularly those with ADHD and emotion dysregulation challenges. Education & Professional Background: PhD in Clinical Psychology, Florida International University Predoc Internship: MUSC Child Track NIAAA Postdoctoral Fellowship (Adolescent Alcohol Use Research) Research Interests: Her work examines emotion dysfunction in ADHD-affected adolescents and its link to risk-taking behaviors like substance use. She also investigates racial disparities in school disciplinary actions, family violence reporting discrepancies, and early intervention strategies for behavioral disorders. Methodologically, she employs multimodal assessments and longitudinal studies like the ABCD project. Professional Contributions: As a mentor, she guides psychology interns and psychiatry fellows at MUSC. Her research has explored fidget spinner efficacy for ADHD symptom management in classrooms, the role of parental monitoring in alcohol experimentation, and neurobehavioral vulnerability markers for substance misuse. She collaborates on large-scale projects such as the Adolescent Brain Cognitive Development (ABCD) study. Labs/Teams: Active member of the MUSC Youth Collaborative, contributing to interdisciplinary studies on youth mental health and developmental psychopathology.

• Attention-deficit/hyperactivity disorder (ADHD)
• Emotion dysregulation
• Child and Adolescent Psychopathology
• +5 more

Yen-Cheng Liu is a former researcher at École polytechnique fédérale de Lausanne (EPFL), affiliated with the School of Life Sciences (BIOS) and multiple departments including LCOM and CMI. His work focuses on interdisciplinary research at the intersection of biomedical engineering, nanotechnology, and cancer biology. Key research areas include nanoplasmonic biosensors, single-cell analysis, optofluidic systems, and cancer immunology. He holds collaborations with institutions like the University of Lausanne and the Centre Hospitalier Universitaire Vaudois (CHUV). His research emphasizes real-time monitoring of cellular secretions, tumor microenvironment dynamics, and diagnostic platform development for pathogens and genetic diseases. Notable contributions include high-throughput microarray technologies for single-cell secretion profiling and optofluidic platforms for molecular diagnostics. Liu’s publications span journals like Advanced Science , Advanced Functional Materials , and Biosensors and Bioelectronics . His work integrates engineering principles with biological systems to address challenges in precision medicine and cancer therapy.

• Biomedical Engineering
• Nanotechnology
• Cancer Research
• +3 more

Vanessa Nomellini, MD, PhD is an Associate Professor in the Division of Burn, Trauma, Acute and Critical Care Surgery at UT Southwestern Medical Center. She joined UT Southwestern in 2023 as the director of research for her division and leader in the Critical Care Outcomes Research Translation (CORT) group. Education: Dr. Nomellini earned her MD and PhD in Cellular and Molecular Biochemistry from Loyola University. She completed her general surgery residency at the University of Wisconsin and Surgical Critical Care fellowship at the University of Pennsylvania. Research Interests: Her work focuses on immune dysfunction in critically ill patients, particularly sepsis and trauma-induced immunosuppression. She leads studies on immune recovery mechanisms and develops the ICU Recovery Program for long-term patient management. Her NIH-funded research (R35 NIGMS) investigates immune suppression through both animal models and human observational studies. Publications Trends: Her recent work emphasizes sepsis pathophysiology, coagulopathy management, and clinical improvements in critical care. Key areas include immunomodulatory therapies, biomarker utility, and optimizing ICU protocols. Scientific Awards: Recipient of NIGMS R35 grant (2019-current) Advising & Grants: Leads a multi-institutional research team and holds leadership roles in CORT. Her grants focus on translational immunology and critical care outcomes. Labs & Teams: Directs research at UT Southwestern's Critical Care Division, collaborating with Drs. Levi and Carlson in CORT initiatives.

• Critical Care Medicine
• Immunology
• Trauma Surgery
• +5 more