Find Academic Supervisors

• Nephrology
• Kidney Transplantation
• Transplant Medicine
• +4 more

Mersema Abate, MD, MPH is an Associate Professor in the Department of Medicine and Science Education at the Zucker School of Medicine at Hofstra/Northwell. She also serves as Director of Advanced Clinical Experience at Northwell Health. Her research focuses on kidney transplantation outcomes, health disparities, and post-transplant glycemic control. She has published extensively on topics such as racial inequities in kidney transplant eligibility, electrolyte abnormalities in critically ill patients, and the impact of comorbidities on transplant success. Her work has been cited over 1,000 times, with notable contributions to understanding the role of race in clinical algorithms and managing infections in immunocompromised patients. Research Interests: Optimizing post-transplant metabolic control Addressing systemic disparities in organ transplantation Multimodal approaches to kidney failure management COVID-19's impact on renal and transplant medicine Publications: Her 70+ articles span peer-reviewed journals like Clinical Transplantation and Journal of the American Society of Nephrology , focusing on clinical nephrology and transplant medicine. Recent work emphasizes implementation of continuous glucose monitoring systems and re-evaluation of race-based clinical metrics. Grants/Advising: No formal grants or student advisees are currently listed in her profile.

Yuriy RogovchenkoView profile

Professor

• Qualitative theory of differential equations
• Mathematical modeling in biology
• Perturbation methods
• +2 more

Yuriy Rogovchenko is a Professor in the Department of Mathematical Sciences at the University of Agder. His research spans differential equations, mathematical modeling, and education innovation, with applications in biology, social sciences, and engineering. Rogovchenko has contributed extensively to mathematics education through projects like PLATINUM (Erasmus+ Strategic Partnership) and CPEA-ST-2019/10067 (Eurasia project). PhD in differential equations (Institute of Mathematics, Kyiv, 1987) Regular Associate at Abdus Salam ICTP, Trieste (2004-2011) Editor for 11 international journals Referee for over 70 journals Research Interests: Qualitative theory of differential equations, perturbation methods, mathematical modeling in interdisciplinary contexts. He focuses on enhancing conceptual understanding through inquiry-based learning and nonstandard problems. Publications: Recent works include advancements in linear system observability, parameter identification methods, and educational studies on exact differential equations. His collaborations with Svitlana Rogovchenko and Matthias Pätzold highlight applications in engineering and biology. Awards: Sørlandet kompetansefonds research award (2016).

Zongyi LiView profile

Research Fellow

• Machine Learning
• Scientific Computing
• Partial Differential Equations
• +5 more

Zongyi Li is a Research Fellow at Massachusetts Institute of Technology , hosted by Kaiming He. They are currently pursuing a Ph.D. in Computing and Mathematical Sciences at Caltech (2019-2025), mentored by Anima Anandkumar and Andrew Stuart. Ph.D. candidate: Computing and Mathematical Sciences, Caltech (2019-2025) B.Sc. in Computer Science and Mathematics with a Jazz minor from Washington University in St. Louis (2015-2019) They focus on Neural Operators for learning solution operators in Partial Differential Equations (PDEs) , particularly in fluid mechanics and earth science . Their work models physical simulations with chaotic behaviors and complex geometries, showing applications in weather forecasting , carbon storage , and aerodynamics simulation . Publications emphasize resolution-invariant models , chaotic systems , and zero-shot super-resolution capabilities. Their research combines Fourier analysis , graph networks , and physics-informed loss functions to achieve state-of-the-art performance in PDE solving with up to 1000x speedup over traditional solvers. Fellowships: Kortschak Scholarship PIMCO Fellowship Amazon AI4Science Fellowship Nvidia Fellowship MIT Novo Nordisk AI Fellowship Code & Open-Source: Co-developer of the NeuralOperator library Implementations for Fourier Neural Operators , Graph Neural Operators , and Tensorized Neural Operators Media Recognition: Quanta Magazine MIT Tech Review NVIDIA Features Towards Data Science

Matthew L BeckerView profile

Professor

• Polymer chemistry
• Bioconjugate chemistry
• Molecular imaging
• +5 more

Matthew L Becker is the Hugo L Blomquist Distinguished Professor of Chemistry at Duke University, with additional appointments in Mechanical Engineering and Material Science, and Biomedical Engineering. His research focuses on polymer chemistry, bioconjugate chemistry, molecular imaging, additive manufacturing, and degradable materials for bone, soft tissue, neural, and vascular tissue engineering. Education: B.S. from Northwest Missouri State University (1998), M.A. (2000) and Ph.D. (2003) from Washington University in St. Louis Research interests include developing tunable degradable polymers for flexible electronics, tissue engineering (bone, neural, vascular), and additive manufacturing. His group is pioneering 3D printing of bioresorbable medical devices and custom inks for biomaterials. Recent work explores stereochemistry-dependent polymer properties, mechanochromism, and machine learning-driven biomaterials design. Key applications: Drug delivery systems Biodegradable adhesives Tissue regeneration scaffolds Scientific honors include: Fellow, National Academy of Inventors (2022) Fellow, American Chemical Society (2020) Carl S. Marvel Award in Creative Polymer Chemistry (2019) Fellow, American Institute for Medical and Biomedical Engineering (2018) Fellow, Royal Society of Chemistry (2017) Biomacromolecules/Macromolecules Young Investigator Award (2015) He teaches advanced courses in mechanical engineering and polymer chemistry, with a focus on 3D printing and biomaterials. His group has developed novel medical devices including resorbable suture anchors, hernia mesh coatings, and neuroprosthetic scaffolds.

Steven RogakView profile

Professor

• Aerosol Science
• Nanoparticle Transport
• Combustion Processes
• +5 more

Steven Rogak is a Professor in the Department of Mechanical Engineering at the University of British Columbia's Faculty of Applied Science. He holds a P.Eng. license and degrees including a B.A.Sc. in Mechanical Engineering from UBC, and M.Sc. and Ph.D. from Caltech. P.Eng., University of British Columbia B.A.Sc., University of British Columbia M.Sc., Ph.D., California Institute of Technology His research focuses on aerosol science, particularly solid nanoparticles from combustion processes, their climate and health impacts, and mitigation strategies. Key areas include: Soot morphology and transport properties Engine emission reduction via fuel injectors Indoor air filtration systems Membrane-based energy exchangers Atmospheric particulate analysis The 15 most recent articles span experimental and theoretical studies on soot characterization, membrane technologies, and aerosol dynamics, with applications in climate modeling, healthcare ventilation, and sustainable materials. Collaborations include Westport Innovations and interdisciplinary teams. Rogak leads the Aerosol Laboratory at UBC, where he applies fluid mechanics and heat transfer fundamentals to address environmental and health challenges. He emphasizes experimental rigor and welcomes graduate students with expertise in these areas.

Hyun KooView profile

Professor

• Biofilms
• Oral Infectious Diseases
• Nanotechnology
• +3 more

Hyun (Michel) Koo is a Professor at the University of Pennsylvania School of Dental Medicine , with affiliations in the Department of Orthodontics , Division of Community Oral Health , and Division of Pediatric Dentistry . As Co-Founder and Co-Director of the Center for Innovation & Precision Dentistry (CiPD) , he leads interdisciplinary efforts merging bioengineering, nanotechnology, and oral health research. Education : DDS and PhD Research Focus : Biofilms, bacterial-fungal interactions, and nanotechnology for oral disease prevention Leadership : Co-Director of CiPD; key roles in training programs like NIDCR-sponsored R90 and T90/R90 Dr. Koo’s research explores biofilm mechanisms in oral infectious diseases, particularly childhood caries, through engineering methods and microrobotics . His team developed micron-scale robots for automated biofilm eradication and FDA-approved nanoparticles for caries prevention. Collaborations with Penn Engineering, including Dr. Daeyeon Lee and Dr. Kacy Cullen, emphasize translational approaches. The 15 most recent publications highlight his work in nanorobotics , interkingdom biofilms , and precision diagnostics . Articles span 2025–2024 and address topics like adaptive micromotors , biofilm matrix degradation , and single-cell microbial interactions . These emphasize his focus on targeted therapies and biofilm microenvironment engineering . Key Awards : Elected Fellow, American Association for the Advancement of Science (AAAS) IADR Distinguished Scientist Award for innovative dental research Dr. Koo trains next-generation researchers through the CiPD NIDCR T90/R90 Postdoctoral Training Program , mentoring fellows like Smruti Nair (ACE2 Chewing Gum development) and Zhi Ren (K99 awardee). His work intersects with Penn Health-Tech, CT3N , and Penn Institute for Biomedical Informatics , fostering transdisciplinary innovation.

Kelly ArnoldView profile

Associate Professor

• Biomedical Computation and Modeling
• Drug Delivery and Therapeutics
• Systems Immunology
• +5 more

Kelly Arnold is an Associate Professor in the Department of Biomedical Engineering at the University of Michigan. Her research integrates systems engineering principles with immunology to investigate variability in immune responses across infection, vaccination, and injury, with a focus on computational modeling and clinical translation. Research Focus Systems-level immune response modeling Vaccination and antibody functionality Vaginal microbiome-host interactions Chronic lung disease progression Computational serology and proteomics Recent Work Her 2025 studies examine SARS-CoV-2 vaccination responses in cancer patients and computational frameworks for vaginal probiotics. Earlier works (2024-2007) span COPD progression, lupus fibrosis, HIV susceptibility, and tissue engineering for fertility preservation. Methodologies include proteomic profiling, network modeling, and microfluidic systems.

• Multi-objective optimization
• Sustainable logistics
• Industry 4.0
• +3 more

Francesco Pilati is an Associate Professor at the Department of Industrial Engineering, University of Trento, where he serves as local coordinator for the scientific field ING-IND/17 (Industrial Plants and Logistic Systems). He chairs the research group on Industrial Plants, Production Systems, and Logistics, and teaches courses in Industrial Plants and Design of Digital Production and Assembly Systems. As coordinator of the Master's program in Management and Industrial Systems Engineering and University Coordinator for the EIT double degree in Zero-Defect Manufacture, Pilati bridges academic leadership with advanced manufacturing research. He has also served as Invited Lecturer at universities in Vienna and Göttingen. His research focuses on integrating environmental sustainability with technical-economic criteria through multi-objective optimization and impact assessment. Key areas include: Distribution networks and warehousing systems Manufacturing and assembly line design Hybrid energy production systems Digitization of manual production processes using depth cameras Recent publications highlight applications of Industry 4.0 technologies to pandemic safety, logistics optimization, and smart manufacturing. Pilati has received significant recognition including the Philip Morris Italia Empowering Research Award (2016) and Autostrade per l'Italia academic recognition. His editorial contributions include guest editing special issues on Digital Twins and Smart Factories in Q1 journals.

• Sports Biomechanics
• Cricket Biomechanics
• Golf Biomechanics
• +3 more

Dr. Rene Ferdinands is a Lecturer at the University of Sydney's School of Health Sciences, specializing in sports biomechanics, particularly in cricket and golf. He leads research programs focused on optimizing techniques and minimizing injury risks, such as lumbar load analysis in fast bowlers and spin bowling biomechanics. His work includes developing 3D models for analyzing bowling actions and spin delivery mechanics. Education: MSc and PhD from the University of Waikato. Research Themes: Cricket biomechanics, golf swing dynamics, equine biomechanics, and injury prevention. Professional Roles: Editor of the Cricket Coaching Information service for the International Society of Biomechanics in Sports, Honours Committee Member. His research interests span biomechanical analyses of sports techniques, including the development of smart cricket balls for performance assessment and injury mitigation. Key contributions include refining bowling action legality criteria and advancing understanding of lumbar kinetics in elite athletes. He actively supervises Honours and PhD students in biomechanics research across cricket, golf, and other sports. Notable grants include studies on hydration status in cricket performance (2008), lumbar injury prevention (2013), and biomechanical modeling of fast bowling (2009). His work bridges applied research with practical applications in sports technology and athlete development. Dr. Ferdinands collaborates with the Biomechanics Research Team at the University of Sydney, focusing on innovative tools like smart balls and advanced motion analysis techniques to improve sports performance and safety.

Pinar KeskinocakView profile

Professor

• Health Systems
• Humanitarian Systems
• Supply Chain Management
• +5 more

Pinar Keskinocak serves as the H. Milton and Carolyn J. Stewart School Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. She co-founded and directs the Center for Health and Humanitarian Systems, demonstrating leadership in both academic administration and research innovation. Her career includes prior roles as College of Engineering ADVANCE Professor and interim associate dean for faculty development, alongside industry experience at IBM T.J. Watson Research Center. Her educational foundation includes a Ph.D. in Operations Research from Carnegie Mellon University and M.S. and B.S. degrees in Industrial Engineering from Bilkent University. This rigorous training underpins her interdisciplinary approach to complex societal challenges. Dr. Keskinocak's research pioneers operations research applications for societal impact , with dual emphases on health systems and humanitarian logistics . She develops advanced models for infectious disease dynamics (including COVID-19, malaria, and Guinea worm), vaccination strategies, disaster response, and supply chain optimization. Her work uniquely bridges engineering analytics with real-world implementation through partnerships with the CDC, American Red Cross, Carter Center, and Children's Healthcare of Atlanta. Analysis of her 2023-2025 publications reveals intensifying focus on eradication program modeling for polio and Guinea worm, with increasing integration of machine learning for predictive accuracy in vaccine distribution. A pronounced trend addresses health equity through targeted interventions for under-immunized populations in Sub-Saharan Africa, emphasizing resource allocation under constraints and cross-border coordination challenges. Her scientific recognition includes: INFORMS Fellow (2015) NSF CAREER Award (2001) Outstanding Professional Education Award, Georgia Tech (2018) Denning Award for Global Engagement, Georgia Tech (2016) Women in Engineering Excellence Teaching Award (2005) Moving Spirit Award, INFORMS (2005) Dr. Keskinocak has secured extensive project funding through collaborations with federal agencies and NGOs, directing research on pandemic response systems, vaccine logistics, and disaster debris management. While specific advisees aren't publicly cataloged, her leadership in the Center for Health and Humanitarian Systems mentors numerous graduate researchers through interdisciplinary projects. She significantly influences national policy via National Academies committees addressing supply chain resilience and vaccine distribution infrastructure. The Center for Health and Humanitarian Systems operates as a dynamic hub where engineering rigor meets humanitarian action, coordinating multi-institutional teams to develop deployable solutions for global health crises and disaster response systems.

• Microbiology
• Infectious Diseases
• Cell Biology
• +7 more

Manuel R. Amieva is a Professor at Stanford University School of Medicine , holding joint appointments in Pediatrics - Infectious Diseases and Microbiology & Immunology . He is also a member of the Maternal & Child Health Research Institute (MCHRI) . His clinical practice at Stanford Medicine Children's Health focuses on pediatric infectious diseases. Education: Medical Education: Stanford University School of Medicine (1997) Fellowship: Stanford University Pediatric Infectious Disease Fellowship (2004) Internship & Residency: Stanford Health Care at Lucile Packard Children's Hospital (1998-1999) Dr. Amieva's research investigates host-pathogen interactions at epithelial barriers, with specific expertise in Helicobacter pylori , Listeria monocytogenes , Salmonella enterica , and Staphylococcus aureus . His lab develops innovative organoid culture systems with controlled polarity to study microbial colonization and oncogenic mechanisms. Key discoveries include: H. pylori's manipulation of epithelial junctions via the CagA protein Listeria's exploitation of cell extrusion sites for invasion Staphylococcus toxin interactions with adherens junctions Gastric stem cell activation by pathogens Recent publication trends show continued leadership in infectious disease mechanisms (2020-2025), with a focus on: Pathogen-specific epithelial breach strategies Organoid modeling of viral/bacterial interactions Redox-dependent host factor regulation Single-cell spatial transcriptomic analyses Multi-institutional educational frameworks His scientific collaborations span disciplines including: Gastric cancer genomics initiatives COVID-19 lung infection models Stem cell-microbe interactions Medical education reform projects Dr. Amieva maintains active clinical research while mentoring students in both the Microbiology & Immunology and Pediatrics programs. His lab at Stanford employs advanced 3D confocal microscopy and organ-on-a-chip technologies to visualize epithelial colonization dynamics.

Ashli Owen-SmithView profile

Researcher

• Mental Health
• Behavioral Science
• Trauma
• +6 more

Ashli Owen-Smith is a behavioral scientist affiliated with the School of Public Health at Georgia State University , where her research focuses on mental health disparities, suicide prevention, and integrative/complementary approaches for complex mental-physical health conditions. She works with underserved populations including refugees/immigrants, incarcerated individuals, and LGBTQ+ communities through community-based participatory research and mixed-methods frameworks. Her current projects are funded by CDC , DBHDD , and DPH . Education: Ph.D. in Behavioral Sciences (Emory, 2009), S.M. in Public Health (Harvard, 2005), B.A. in Psychology (Smith College, 2001) Her research spans mental health , trauma , suicide prevention , and mindfulness-based interventions . Recent work examines telehealth adaptations for chronic pain and mental health, vaccine hesitancy in refugee communities, and social determinants of suicide . She leads studies on gender-affirming care and health disparities in LGBTQ+ populations. Key article trends include epidemiological analysis of suicide risk factors, COVID-19 impacts on mental health, ICD-10 coding for autism, and complementary medicine in trauma recovery. Subfields span telehealth , health equity , mental-physical comorbidity , and community engagement . Students she has mentored include C.A. Scarlett , T. Griner , and M.M. Sesay . Her work integrates public health policy , clinical research , and health systems analysis .

David GraingerView profile

Professor

• Bacterial Chromosome Biology
• Pathogenicity
• Antibiotic Resistance Mechanisms
• +3 more

Professor David Grainger is a faculty member at the University of Birmingham's School of Biosciences, specializing in Molecular Microbiology. He leads the Grainger Lab, focusing on bacterial chromosome biology, pathogenicity, and antibiotic resistance. His research integrates high-throughput techniques and single-molecule analysis to study gene regulation and bacterial pathogenesis. Education: PhD (2004), PGCE (2000), BSc (1999) in Biochemistry from the University of Birmingham. Affiliations: Part of the Institute of Microbiology and Infection (IMI), collaborating with experts in genomics, proteomics, and structural biology. Research Interests: Deciphering chromosome biology of pathogenic bacteria, including transcriptional regulation, toxin production control, and antibiotic resistance pathways. Utilizes cutting-edge methods like Hi-C for 3D chromatin analysis and single-molecule microscopy. Recent Articles: Focused on transposon capture mechanisms, bacterial promoter diversity, and quorum sensing signaling. Highlights include studies on Salmonella regulons and Vibrio cholerae biofilm suppression. Awards: Wellcome Trust Career Development Fellowship (2008), Runner-up in 'Science Snaps' competition for scientific communication. Grants: Career Development Fellowship-funded establishment of his research group at the University of Warwick (2008). Labs/Teams: Grainger Lab at the University of Birmingham, part of the IMI network. Engages in public science outreach via Twitter and lab website.

Shu YangView profile

Associate Professor

• Causal inference
• Missing data analysis
• High-dimensional statistics
• +5 more

Shu Yang is an Associate Professor of Statistics at North Carolina State University (NC State), specializing in causal inference, missing data analysis, and biostatistics. She holds a Ph.D. in Applied Mathematics and Statistics from Iowa State University and has held roles including Postdoctoral Fellow at Harvard University and Assistant Professor at NC State. Her research focuses on developing statistical methods for observational and clinical studies, particularly in healthcare and environmental applications. Education: Ph.D. in Applied Mathematics and Statistics from Iowa State University (2014) B.Sc. in Mathematics and Applied Mathematics from Beijing Normal University (2009) Research Interests: Dr. Yang’s work addresses challenges in causal inference, including longitudinal data analysis, missing data imputation, and high-dimensional statistics. She applies these methods to environmental health, cardiovascular diseases, HIV infection, and cancer research. Her team also explores spatial statistics and data integration techniques. Awards: 2025: Think, Collaborate & Do Ideation Award 2024: COPSS Emerging Leader Award, Cavell Brownie Mentoring Award 2022: University Faculty Scholar 2018: Ralph E. Powe Junior Faculty Enhancement Award Grants & Advising: She leads funded projects on causal inference methods in environmental health, sepsis detection, and marine protected areas. She advises over 20 Ph.D. students and postdocs, focusing on causal methods, data integration, and healthcare analytics.

Finlay MaguireView profile

Assistant Professor

• Genomic Epidemiology
• Health Data Science
• Bioinformatics
• +7 more

Finlay Maguire is an Assistant Professor jointly appointed in the Faculty of Computer Science and the Department of Community Health & Epidemiology at Dalhousie University. He leads the Maguire Lab, which develops data-driven methods to address health and social crises through genomic epidemiology and interdisciplinary health data science. He is also affiliated with the Shared Hospital Laboratory, Sunnybrook Research Institute, and multiple national and international public health consortia including PHA4GE, CanCOGeN, and IRIDA. PhD: University College London / Natural History Museum (2016) MA: University of Oxford (2011) Donald Hill Family Fellowship, Dalhousie University (2021) Dr. Maguire's research focuses on two main areas: genomic epidemiology of infectious diseases and interdisciplinary health data science collaborations . His work in genomic epidemiology includes developing bioinformatics and machine learning tools to study antimicrobial resistance (AMR) and SARS-CoV-2 dynamics, often in collaboration with public health agencies. His broader health data science work addresses issues such as online radicalization, healthcare access for refugees, and autism-related language use, combining computational methods with social science. His recent publications (2023–2025) reflect a strong trend in pathogen genomics , AMR , zoonotic spillover , and computational social science . He has published on novel coronaviruses in bats, SARS-CoV-2 animal models, invasive Group A Streptococcus, and sociological analyses of incel communities. Much of this work involves tool development (e.g., ArgNorm, Pathoplexus) and data standardization (e.g., PHA4GE metadata standards). Finalist, 2024 Discovery Awards (Emerging Professional) 2023 President’s Research Excellence Award for an Emerging Investigator, Dalhousie Finalist, 2023 Discovery Awards (Emerging Professional) Funding from CIHR, NSERC, Genome Canada, SSHRC, BMGF Dr. Maguire actively mentors graduate students and postdocs, including PhD candidates in Computer Science and MSc students in Community Health & Epidemiology. He has secured major training grants such as the CIHR Health Research Training Platform and the Canadian One Health Training Program for Emerging Zoonoses. He also contributes to capacity-building initiatives like MicroResearch in Ghana and Kenya. The Maguire Lab is embedded in a rich network of collaborations, including the CARD database, Public Health Agency of Canada, Canadian Food Inspection Agency, and Sunnybrook Health Sciences Centre. The lab emphasizes open science, reproducible research, and interdisciplinary training, as seen in the development of open-source tools and participation in international consortia.