Machine Learning in Health Interventions Professors and Supervisors | ApplySharif

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Laura KwongView profile

Assistant Professor

University of California, BerkeleyUnited States

Laura Kwong is an Assistant Professor in the Division of Environmental Health Sciences at the UC Berkeley School of Public Health, specializing in environmental justice and global health equity. Her work focuses on designing and evaluating engineering interventions to address health disparities in low-income countries, particularly regarding child/maternal health, air pollution, and infectious diseases. She employs community-based participatory research methods in Bangladesh, Uganda, Indonesia, China, and other regions. Dr. Kwong holds a PhD in Civil & Environmental Engineering from Stanford University, with prior experience as an ORISE Fellow at the U.S. EPA. Her interdisciplinary research integrates qualitative and quantitative methods, including randomized-controlled trials and sensor-based assessments. Key areas include household-level interventions to reduce environmental contamination, fecal exposure mitigation, and climate-resilient sanitation solutions. Her recent publications highlight community-driven solutions for energy access, fecal pathogen transmission pathways, and the impact of weather extremes on health. She leads the Global Environmental Health Equity Lab, emphasizing human-centered design in public health infrastructure. Dr. Kwong’s work bridges engineering and public health to advance equity in resource-poor settings, with a focus on interventions that address both health and environmental sustainability.

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Hanqing JinView profile

Associate Professor

University of OxfordUnited Kingdom

Dr. Hanqing Jin is an Associate Professor in the Mathematical Institute at the University of Oxford, specializing in Mathematical Finance and Applied Stochastic Analysis. His research focuses on investor decision-making under non-utility behavior, dynamic portfolio optimization, and stochastic control problems in financial markets. Prior to Oxford, he held an Assistant Professorship at the National University of Singapore. He has contributed to foundational work on mean-variance portfolio selection, behavioral finance, and the application of stochastic processes to financial modeling. His academic background includes extensive work on continuous-time portfolio optimization, risk management frameworks, and the intersection of behavioral economics with quantitative finance. Notable contributions include studies on optimal lockdown policies during pandemics, blockchain consensus algorithms analysis, and the development of novel biomarker detection techniques using Raman spectroscopy. Dr. Jin's research integrates advanced mathematical techniques with real-world financial challenges, bridging theoretical models with practical applications in areas such as robo-advising systems and cryptocurrency frameworks. His work on transaction cost analysis and dynamic mean-variance strategies has been widely cited in both academic and industry contexts.

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Kyle KonisView profile

Associate Professor

University of Southern CaliforniaUnited States

Kyle Konis is an Associate Professor of Architecture and Director of the Chase L. Leavitt Master of Building Science Program at the University of Southern California's School of Architecture. He holds a Ph.D. in Architecture (Building Science) from UC Berkeley, an M.Arch from Yale University, and a B.A. in Architectural Studies from the University of Washington. His research focuses on aligning building performance with human needs through participatory evaluation techniques, data-driven design tools, and evidence-based practices in sustainability and healthcare environments. Prof. Konis has led six externally funded research projects, including grants from the AIA Upjohn Initiative and California Energy Commission. His work emphasizes occupant-centric design, with notable contributions to daylighting strategies, circadian lighting in dementia care facilities, and energy-efficient building systems. He is a licensed architect in Washington and California. Education: B.A. Architectural Studies, University of Washington M.Arch, Yale University Ph.D., Architecture (Building Science), UC Berkeley His research interests include sustainable building practices, occupant well-being, and the application of technology to improve design outcomes. Notable projects include studies on thermal comfort databases, participatory sensing frameworks (TrojanSense), and circadian design tools. He has authored or co-authored over 30 peer-reviewed articles and a Springer-published book on daylighting. Awards: 2016 ARCC New Researcher Award 2015 ACSA New Faculty Teaching Award 2015 ACSA Housing Design Education Award 2015 BTES Emerging Faculty Award Prof. Konis teaches courses on architectural sustainability, environmental systems, and interactive computing in design. His lab integrates real-world data collection with computational modeling to bridge gaps between design intent and building performance. Ongoing work explores climate-responsive interventions for at-risk communities and the role of lighting in mental health contexts.

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Ashwaq AmatView profile

Assistant Professor

Vanderbilt UniversityUnited States

Ashwaq Amat is an Assistant Professor of Practice in Electrical and Computer Engineering at Vanderbilt University's School of Engineering. Her teaching focuses on digital logic and control systems. She holds a B.S. and Ph.D. from Vanderbilt University and an M.S. from the University of Leeds, UK. Dr. Amat's research centers on developing assistive technologies using virtual reality and multimodal data analytics to support neurodiverse populations, particularly individuals with Autism Spectrum Disorder (ASD). Her work includes designing collaborative virtual environments for teamwork training, intelligent agents for skill assessment, and haptic systems for motor skill development. Notable projects include the ViRCAS simulator for workplace teamwork and the InViRS system for joint attention practice. Her academic journey includes prior roles as a lecturer at University Malaysia Pahang and IT consultant at Accenture. Her research has produced over a dozen peer-reviewed publications since 2018, spanning topics from autism intervention strategies to neurodiversity workplace integration.

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Michael EmchView profile

Professor

University of North Carolina at Chapel HillUnited States

Michael E. Emch is a W.R. Kenan, Jr. Distinguished Professor of Geography and Epidemiology at the University of North Carolina at Chapel Hill (UNC-Chapel Hill). He holds a PhD in Medical Geography from Michigan State University (1998) and has been a Fellow at the Carolina Population Center. His research integrates spatial analysis with epidemiological and ecological theories to study infectious diseases in developing regions, focusing on disease ecology, spatial epidemiology, and GIS applications in public health. He directs the Spatial Health Research Group and is affiliated with the UNC Infectious Diseases, Epidemiology, and Ecology Lab (IDEEL). His research explores spatio-temporal patterns of diseases like malaria, hepatitis B, and influenza, emphasizing how social, environmental, and built factors influence disease spread. Notable projects include studies on swine influenza evolution, malaria vaccination efficacy (RTS,S/AS01), and hepatitis B elimination strategies in the Democratic Republic of Congo. He also investigates environmental health issues, such as groundwater contamination and cholera transmission in Bangladesh. Education: PhD in Medical Geography (1998, Michigan State University), MA in Geography (1992, Miami University of Ohio), BA in Biology (1987, Alfred University). Service: Editorial roles in journals like Health & Place and SSM - Population Health . Awards: W.R. Kenan, Jr. Distinguished Professorship, Fellow of the Carolina Population Center. Teaching focuses on spatial components of health, including courses like GIS in Public Health and Infectious Disease Ecology . Recent articles highlight cutting-edge work on machine learning in environmental health, vaccine efficacy analysis, and spatial epidemiology of emerging pathogens. His advocacy for interdisciplinary approaches bridges geography, epidemiology, and ecology to address global health challenges.

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Sander BakkesView profile

Assistant Professor

Utrecht UniversityNetherlands

Sander Bakkes is an Assistant Professor and Game Researcher at the Faculty of Science, Utrecht University. He specializes in developing personalized games and interventions for healthcare and education, leveraging adaptive AI and game design principles. His work focuses on improving user engagement and intervention effectiveness through tailored game mechanics. Research Themes: Dynamics of Youth, Human-Centered AI, Serious Games Key Projects: HUB 'Playing = Growing Up Healthy', games for children with chronic illnesses, crisis management training tools Research Interests: Game-based learning, AI-driven game adaptation, and the psychological impact of games on health and behavior. His studies explore how play can enhance coping mechanisms for youth with chronic conditions and improve social integration. Publications span gamification, player experience modeling, and serious games, with contributions to conferences like FDG and GALA. He teaches courses on Game Design and Gamification, and actively collaborates with interdisciplinary teams in healthcare and AI.

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Philippe ToblerView profile

Professor

University of ZurichSwitzerland

Philippe Tobler is a Professor of Neuroeconomics and Social Neuroscience at the University of Zurich's Department of Economics. He leads the Zurich Center for Neuroeconomics and focuses on neural mechanisms underlying decision-making, reward learning, and social behavior. His research employs fMRI, pharmacological interventions, and behavioral methods to investigate how the brain processes economic and social parameters like risk, delay, and probability. Teaching roles include courses such as 'Decision Neuroscience,' 'Introduction to Neuroeconomics,' and 'Neuroeconomics Seminar.' He collaborates extensively with researchers like Ernst Fehr and Christian Ruff, contributing to interdisciplinary studies on social neuroscience and neuroeconomics. Tobler's work examines dopamine's role in value processing, individual vs. social learning systems, and the neural basis of fairness and efficiency trade-offs. His research has implications for understanding psychiatric disorders, aging, and economic decision-making processes.

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Tony StockmanView profile

Senior Lecturer

Queen Mary University of LondonUnited Kingdom

Dr. Tony Stockman is a Senior Lecturer at Queen Mary University of London's School of Electronic Engineering and Computer Science. His teaching focuses on Database Systems, Interaction Design, and Semi-structured Data Modelling across undergraduate and postgraduate programs. His research interests include Human-Computer Interaction, Auditory Displays, and Data Sonification, with a strong emphasis on accessibility and cross-modal interfaces. Dr. Stockman has contributed to over 100 publications, exploring topics such as biofeedback systems, assistive technologies for visually impaired individuals, and collaborative design methodologies. His work frequently bridges technical innovation with user-centric design principles. Notable projects include the development of non-visual navigation tools like the Audiom web-based map viewer and co-designed haptic wearables for music synchronization. His research also addresses challenges in education technology, such as dyslexia screening through serious games.

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Anne McLaughlinView profile

Professor

North Carolina State UniversityUnited States

Anne McLaughlin is a Professor in the Department of Psychology at North Carolina State University, affiliated with the College of Humanities and Social Sciences. She directs the LACElab (Learning, Aging, and Cognitive Ergonomics), focusing on human factors, cognitive aging, and technology usability. She holds a Ph.D. in Engineering Psychology from Georgia Tech (2007) and has been at NC State since 2007. Her education includes a B.A. in Psychology and English Literature from Trinity University (1998), an M.S. in Engineering Psychology from Georgia Tech (2003), and her Ph.D. from the same institution (2007). Her research integrates cognitive science principles with real-world applications, emphasizing aging populations and technology design. Key research interests include cognitive aid design, augmented/virtual reality applications, human-robot interaction, and medical device usability. Recent work explores diminished reality techniques for attention management, trust dynamics in autonomous systems, and veterinary patient safety culture. Her articles highlight trends in human-centered technology development, particularly addressing individual differences in attention control, automation trust, and healthcare system optimization. She advocates for inclusive design principles to enhance older adults' engagement with technology and improve medical screening accessibility. McLaughlin’s work bridges academic research and practical implementation, with collaborations in healthcare, robotics, and educational technology. Her lab’s focus on aging-related challenges underscores her commitment to improving quality of life through human-centered solutions.

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Margaret WardleView profile

Associate Professor

University of Illinois ChicagoUnited States

Margaret Wardle, PhD is an Associate Professor in the Department of Psychology at the University of Illinois Chicago , serving as Director of Clinical Training and Clinical Program Chair within the College of Liberal Arts and Sciences. Her research focuses on developing interventions for addiction, particularly examining drug-induced emotional dysfunction and anhedonia in cocaine use disorder. Education: B.H.A. in Psychology and Art (2001) - Carnegie Mellon University Ph.D. in Clinical Psychology (2009) - University of Illinois at Chicago Postdoctoral Fellowship (2009–2012) - University of Chicago in Human Behavioral Pharmacology Research Interests: Neurobiological mechanisms of addiction Emotional processing in substance use disorders Clinical trials targeting anhedonia MDMA and oxytocin effects on social/emotional processing Exercise as a reward modulator Grants & Lab: Current NIH NIDA Grant: Targeting Anhedonia in Cocaine Use Disorder Principal Investigator for studies on neural mechanisms and pharmacological interventions Led the Addiction Research and Treatment Lab exploring drug-emotion interactions Professional Credentials: Licensed Clinical Psychologist (Illinois, 2015–present) Expert in human laboratory studies and clinical trial design

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Thomas PulinilkunnilView profile

Professor

Dalhousie UniversityCanada

Dr. Thomas Pulinilkunnil is a Professor in the Department of Biochemistry and Molecular Biology at Dalhousie University, affiliated with Dalhousie Medicine New Brunswick. He joined the faculty in 2012. His research focuses on nutrient regulation of lysosomal metabolism, autophagy, and BCAA biology in cardiometabolic and cancer contexts. Education: PhD (University of British Columbia, 2005), Postdoctoral Fellowships at Harvard Medical School (2005-2008) and University of Alberta (2008-2012). Research Interests: Metabolic regulation of autophagy, lysosomal function in disease, BCAA metabolism in health and disease, ER glycosylation disorders, and cancer metabolism. His lab uses rodent, zebrafish, and yeast models to study these pathways. Publications: Over 60 peer-reviewed articles, with recent work on BCAA dysregulation in cardiometabolic disorders, TFEB's role in cancer cell survival, and lysosomal dysfunction in obesity-related heart failure. Key themes include nutrient-sensing pathways, mitochondrial-lysosome crosstalk, and translational applications in cancer therapy. Awards/Grants: Not explicitly listed, but his research is supported by grants from institutions like Dalhousie Medicine New Brunswick and collaborations with Saint John Regional Hospital. Labs/Teams: Leads the Pulinilkunnil Lab at Dalhousie, collaborating with teams like IMPART and CVRG. Current lab members include graduate students (e.g., Gurpreet Kaur, Max Merilovich) and postdocs (e.g., Sundaram Pakkirisami).

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Brian FisherView profile

Professor

Simon Fraser UniversityCanada

Brian Fisher is a Professor at Simon Fraser University's School of Interactive Arts and Technology, where he leads the Interaction Science Research Group. He holds affiliate positions at the University of British Columbia and serves as Associate Director for the Media And Graphics Interdisciplinary Centre (MAGIC). His research investigates human reasoning in responsive environments through cognitive science approaches, developing visualization systems that support individual and distributed cognition. Fisher's work spans personalized health, aircraft safety analysis, space object classification, and emergency management. His teaching integrates perceptual, cognitive, and social science knowledge into design education. He actively participates in science policy through organizations including NSERC, Defence R&D Canada, EUREKA Eurostars, and IEEE committees. Fisher has been recognized as a Fellow of the Psychonomics Society and chaired major conferences including IEEE VIS 2019. His research is characterized by strong interdisciplinary collaboration and real-world applications in high-stakes decision domains.

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Amir Tofighi ZavarehView profile

Assistant Professor

Texas A&M UniversityUnited States

Amir Tofighi Zavareh is an Assistant Professor in the Department of Engineering Technology and Industrial Distribution at Texas A&M University, specializing in Electronic Systems Engineering Technology. He is affiliated with the Center for Remote Health Technologies and Systems and Biomedical Engineering. His research focuses on analog and mixed-signal bioelectronic design, biomedical imaging, and wearable technology for healthcare applications. Dr. Tofighi Zavareh earned his Ph.D. in Electrical and Electronics Engineering from Texas A&M University in 2019. His work bridges biomedical engineering and signal processing, with a strong emphasis on developing innovative medical devices and wearable systems for real-time health monitoring. His research interests include wearable biosensors, machine learning-driven diagnostics, and improving mental health support in educational settings through technology. Notable projects involve eye-tracking metrics for online learning accessibility and stress-alleviation systems using emotion recognition. His publications span advancements in optical coherence tomography (OCT), retinal imaging systems, and AI-powered mental health tools. He collaborates across disciplines to address challenges in healthcare technology and education equity.

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Brent A. JohnsonView profile

Professor

University of RochesterUnited States

Brent A. Johnson is a Professor of Biostatistics, Ophthalmology, and Neurology at the University of Rochester Medical Center. He holds joint appointments in the School of Medicine and Dentistry and leads the Biostatistics and Computational Biology Department. His research focuses on methodological advancements in semi-parametric methods, causal inference, and adaptive treatment strategies, with substantive applications in HIV/AIDS, environmental health, and clinical epidemiology. Johnson collaborates widely across disciplines, including cardiology, neurology, and global health, particularly in Sub-Saharan Africa. He directs the Biostatistics Core for the University of Rochester's Center for AIDS Research and serves as an on-call statistician for the Flaum Eye Institute. Education: PhD in Statistics from North Carolina State University (2003), MS in Biostatistics from University of Minnesota (1997), BA in Mathematics from St. Olaf College (1995). Awards include the NSF VIGRE Fellowship and Best Student Paper Award from the American Statistical Association. Research Interests: Dynamic treatment regimes, personalized medicine, missing data methods, biomarker development, and HIV prevention strategies. His lab develops statistical tools for observational studies and clinical trials, with recent work on machine learning approaches for censored outcomes and causal inference. Grants and Funding: NIH grants for HIV/AIDS research, environmental health projects, and methodological development. Collaborations include the AIDS Clinical Trials Group (ACTG), the South African TDF study, and the El Paso Asthma Cohort. Labs/Teams: Directs the Brent Johnson Lab, focusing on statistical methodology for biomedical applications. Key lab members include postdoctoral fellows like John Rice and alumni Li Li (Eli Lilly) and Xin Lu (Sanofi).

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Olivia KeiserView profile

Professor

University of GenevaSwitzerland

Olivia Keiser is a Professor and Head of the Division of Infectious Diseases and Mathematical Modelling at the Institute of Global Health, University of Geneva. She holds an SNF Professorship (2017) and leads interdisciplinary research combining mathematical modelling, cohort data analysis, and public health strategies. Her work focuses on HIV, hepatitis, and infectious diseases, emphasizing their interaction with non-communicable diseases. Education: Biology (University of Basel), Master in Statistics (University of Neuchâtel), PhD in Public Health (University of Bern). Key Roles: Led HIV cohort studies in sub-Saharan Africa, contributed to the Swiss HIV Cohort Study, and advised on Ebola outbreak responses in Guinea and DRC. Her research addresses global health challenges, including pandemic preparedness, vaccine coverage, and health equity. She has supervised numerous doctoral students and collaborates with international organizations like WHO and the World Bank. Recent work includes analyses of HIV transmission dynamics, Ebola contact tracing strategies, and the impact of the pandemic on immunisation programs.

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