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Dr. Jimeng Sun is a Health Innovation Professor at the Siebel School of Computing and Data Science and Carle Illinois College of Medicine at the University of Illinois Urbana-Champaign. Co-founder of Keiji AI , he leads groundbreaking research at the intersection of artificial intelligence and healthcare, actively deploying clinical AI systems and developing frameworks like PyHealth and Therapeutics Data Commons . His research spans four major areas: Clinical AI Systems : Developing interpretable models (e.g., RETAIN) for patient similarity, temporal event prediction, medication recommendation, and clinical outcome forecasting Drug Discovery : Creating molecular optimization frameworks, drug-target interaction models, and AI-driven platforms Clinical Trials : Pioneering patient-trial matching, outcome prediction, and optimization frameworks using deep learning and graph neural networks Biosignal Analysis : Advancing sleep staging, seizure classification, and automated EEG/Cardiac monitoring systems With over 500 top-tier publications (including in Nature , NEJM AI , and leading AI conferences) and an h-index of 99, his work has been recognized with the Top 100 AI Leaders in Drug Discovery and Advanced Healthcare award. He maintains active collaborations with institutions like Massachusetts General Hospital , Medidata Solutions , and OSF Healthcare . His recent publications reveal a strong focus on: Reinforcement learning applications in medical data analysis Large language model adaptation for clinical tasks Knowledge graph integration with AI systems Synthetic data generation for healthcare Multi-modal learning in clinical contexts Explainable AI for medical applications Dr. Sun's lab ( Sunlab ) emphasizes practical impact over theoretical work, actively collaborating with hospitals and healthtech companies. He welcomes contributions from clinicians, researchers, and industry partners through initiatives like his AI for Health webinar series .

• Artificial Intelligence
• Healthcare Analytics
• Drug Discovery
• +5 more

Youngjae You is a Professor of Empire Innovation in the Department of Pharmaceutical Sciences at the University at Buffalo School of Pharmacy. His research focuses on Antibody-Drug Conjugates, Cancer Chemotherapy, Medicinal Chemistry, and Targeted Drug Delivery. He holds adjunct roles at the University of Oklahoma Health Sciences Center and has led numerous grants totaling over $10 million in funding. Key awards include the 2019 Professor of Empire Innovation title and multiple DoD/CDMRP grants. His work emphasizes prodrug design, photodynamic therapy, and combination therapies. Education : PhD in Pharmaceutical Chemistry, Chungnam National University (2001) MS in Pharmaceutical Chemistry, Chungnam National University (2000) BPharm, Chungnam National University (1994) Research Interests : Dr. You specializes in developing light-activatable prodrugs for targeted cancer therapies, including far-red/NIR light-activated delivery systems. His work integrates quantitative pharmacokinetic modeling, singlet oxygen dynamics, and receptor-targeted drug conjugation to enhance therapeutic efficacy while minimizing off-target effects. Key applications include bladder, breast, and ovarian cancers. Funding Highlights : NIH/NIGMS: $1.37M (2023-2027) for light-responsive drug delivery National Cancer Institute: $2.1M (2022-2027) for bladder cancer treatments DoD/CDMRP/PRCRP: $392K (2017-2020) for photodynamic-chemotherapy combinations Awards : PHF Presidential Professorship (2018) American Cancer Society Research Scholar Grant (2013) Multiple DoD/CDMRP Idea Awards Service & Grants : Serves as Principal Investigator on 8 major grants. Active reviewer for Wellcome Trust, NIH, and international funding agencies. Holds patents on BODIPY derivatives and singlet oxygen-labile linkers. Lab & Collaborations : Leads the You Lab at UB, collaborating with bioengineers and clinicians to advance photomedicine and targeted drug delivery systems. Engaged in multidisciplinary teams addressing spatiotemporal control in cancer treatments.

• Antibody-Drug Conjugates
• Cancer Chemotherapy
• Medicinal Chemistry
• +3 more

Christopher Weidlich is an Assistant Professor of Clinical in the School of Nursing and Health Studies at the University of Miami. His academic focus includes psychiatric nursing, mental health education, and healthcare provider well-being. He is involved in research addressing simulation-based education, mental health disorders in occupational groups such as fire investigators, and interventions to improve resilience among healthcare providers. His research interests span simulation modalities in psychiatric nursing education, organizational stigma's impact on mental health service utilization, and substance abuse trends like xylazine adulteration. He has also contributed to studies on military healthcare, including resilience programs for providers and PEMF therapy for chronic pain. Dr. Weidlich’s work is supported by his affiliation with the University of Miami’s School of Nursing and Health Studies, leveraging resources such as the Simulation Hospital Advancing Research and Education (S.H.A.R.E.®) facility. His research emphasizes practical applications in clinical settings and improving patient outcomes through innovative educational and therapeutic approaches.

• Psychiatric Nursing
• Mental Health Disorders
• Healthcare Provider Well-being
• +3 more

Takako Fujioka is an Associate Professor of Music at Stanford University, affiliated with the Center for Computer Research in Music and Acoustics (CCRMA). Her research focuses on the neural mechanisms underlying auditory perception, auditory-motor coupling, and music-supported therapy for neurorehabilitation. She holds a Ph.D. in Physiology from the Graduate University for Advanced Studies, Japan, and M.Sc./B.Eng. degrees in Electrical Engineering from Waseda University. Her work combines neurophysiological techniques such as MEG and EEG to study brain plasticity in development, aging, and stroke recovery. Notable contributions include investigating how music influences motor and cognitive recovery in stroke patients, as well as exploring the neural basis of musical perception through rhythmic synchronization and pitch discrimination studies. Supported by awards from the Canadian Institutes of Health Research during her postdoctoral work at the Rotman Research Institute, her research bridges clinical neuroscience and music cognition. Dr. Fujioka’s expertise spans auditory neuroscience, neurorehabilitation, and technology-assisted music therapy. She has pioneered studies on tactile mapping for cochlear implant users and networked music performance systems, emphasizing cross-modal perception and human-technology interaction. Her findings contribute to both theoretical understanding of auditory processing and practical applications in medical and educational settings. Awards: Canadian Institutes of Health Research Awards (postdoctoral phase) Labs/Teams: CCRMA, Stanford Music Perception Laboratory, Rotman Research Institute collaborations Key Themes: Neuroplasticity, Music-Mediated Rehabilitation, Auditory-Motor Integration, Multisensory Processing Her recent work examines aging-related changes in binaural hearing and the role of beta/gamma oscillations in rhythmic processing. She advocates for translational research that connects neural mechanisms with real-world therapeutic interventions.

• Auditory Perception
• Neural Oscillations
• Auditory-Motor Coupling
• +5 more

Karl Griswold is a Professor of Engineering at Dartmouth College's Thayer School of Engineering, where he leads the Griswold Research Group focused on protein engineering and biotherapeutics development. His interdisciplinary work spans chemical, biological, and engineering disciplines to address critical challenges in drug-resistant infections and protein therapeutics. Education: BS in Chemistry from Southwest Texas State University (1995) PhD in Chemistry from the University of Texas at Austin (2005) Research Focus: Professor Griswold's laboratory specializes in protein engineering, directed evolution, and biotherapeutics development , creating novel biomolecules with superior functionality compared to natural proteins. The group develops high-throughput screening methods, protein deimmunization strategies, enhanced expression systems, and antibacterial agents targeting drug-resistant infections. Their work has significant translational potential for treating conditions like MRSA and Pseudomonas aeruginosa infections. Scientific Recognition: Wallace H. Coulter Foundation Early Career Translational Research Award in Biomedical Engineering (2008) NIH Biotechnology Training Grant (2000-2003) Royston M. Roberts - Regents Fellowship, University of Texas (1999) DOW Chemical Foundation Scholar, Texas State University (1991-1995) Senior Fellow, National Academy of Inventors Research Leadership: As co-founder and CEO of Stealth Biologics, Professor Griswold translates academic research into commercial applications. His work has secured NIH funding and Dartmouth Innovations Accelerator support, with research featured in Chemical & Engineering News, Vermont Public Radio, and the New Hampshire Union Leader for developing alternatives to traditional antibiotics. Research Environment: The Griswold Research Group maintains extensive collaborations across disciplines including clinical medicine, immunology, structural biology, and chemical engineering. This interdisciplinary approach prepares trainees for careers at the intersection of multiple scientific fields, with research focusing on Biomolecular Antimicrobial Therapies, Deimmunizing Protein Therapeutics, and Gene Library Construction Technologies.

• Protein engineering
• Directed evolution
• Biotherapeutics
• +2 more

W. Hong Yeo is a Professor in the Woodruff School of Mechanical Engineering and Program Faculty in Bioengineering at the Georgia Institute of Technology, where he also directs the WISH Center. He holds adjunct appointments in the Wallace H. Coulter Department of Biomedical Engineering. Previously, he was an Assistant Professor at Virginia Commonwealth University (2014-2016) and a postdoctoral fellow at the University of Illinois Urbana-Champaign's Beckman Institute. Dr. Yeo's research integrates nanomechanics, soft materials, and nano-microfabrication to develop bio-interfaced systems. Key areas include: Flexible Bioelectronics : Wearable/implantable sensors for health monitoring Human-Machine Interfaces : Neural prosthetics and soft robotics Translational Nanoengineering : Nanoparticle biosensing and diagnostics His publications (2023-2025) demonstrate strong focus on wireless health technologies, including multi-modal wearable systems, implantable sensors for cardiovascular/neurological monitoring, and AI-integrated diagnostics. Trends show increasing emphasis on closed-loop therapeutic systems and scalable manufacturing. Awards & Recognition : BMES Innovation and Career Development Award Virginia Commercialization Award Blavatnik Award Nominee NSF Summer Institute Fellowship Research funding sources include MEDARVA Foundation, NIH, DARPA, and industry partners like CooperVision. He leads the Center for Human-Centric Interfaces & Engineering , developing next-generation bio-interfaced systems.

• Flexible Electronics
• Human Augmentation
• Micro and Nano Device Engineering
• +6 more

Alexandra Papoutsaki is an Associate Professor of Computer Science at Pomona College since 2017. Her research focuses on Human-Computer Interaction , particularly in webcam-based eye tracking and shared gaze for remote collaboration . Ph.D. in Computer Science from Brown University M.Sc. in Computer Science from Brown University B.Sc. in Computer Science from Athens University of Economics and Business Her work spans personal informatics , crowdsourcing methodologies , and remote usability testing , with recent projects examining collaborative drawing interfaces, baby tracking reflection, and digital health communities. Earlier contributions include computational biology research in genome-wide survival analysis and pan-cancer mutation networks. Key trends in her publications include: Remote collaboration tools enhanced by eye tracking Personal data systems for health and creative domains Foundational work in crowdsourcing quality control Interdisciplinary approaches combining computer science with psychology and medicine Scientific recognition includes: NSF CRII Grant (2020-2022) Wig Distinguished Professor Award (2020) Best Paper at RECOMB (2013) She has developed multiple open-source platforms including WebGazer for scalable eye tracking and Remotion for mobile usability testing. Her research team has published extensively in top venues like CHI, IMWUT, and IJCAI.

• Human-Computer Interaction
• Eye Tracking
• Shared Gaze for Remote Collaboration
• +5 more

Jeff Searl is a Professor in the Department of Communicative Sciences and Disorders at Michigan State University (MSU), within the College of Communication Arts and Sciences. Previously, he held faculty roles at the University of Kansas Medical Center’s Hearing and Speech Department and the Otolaryngology – Head & Neck Surgery Department. He earned his Ph.D. from the University of Kansas. His research focuses on understanding how chemoradiation and surgery for head and neck cancers affect speech and voice production. The goal is to develop clinical practices that preserve or rehabilitate communication for patients post-treatment. His methods include physiological, acoustic, and auditory-perceptual measurements. Key emphases include optimizing communication while balancing speech intelligibility, physical/cognitive effort, and associated fatigue. Recent work addresses pandemic impacts on laryngectomy patients, clinician practices during crises, and vocal effort measurement across cultures. His lab investigates articulatory pressures, tracheoesophageal speech dynamics, and dysphagia treatment innovations. Though no specific awards are listed, his contributions to voice rehabilitation and clinical methodologies are significant. Dr. Searl advises on telemedicine applications for Parkinson’s voice therapy, group therapy feasibility, and alaryngeal communication modalities. His lab at MSU collaborates on interdisciplinary projects involving speech-language pathologists, engineers, and oncologists to advance communication restoration technologies.

• Speech Production
• Head and Neck Cancer Rehabilitation
• Voice Assessment
• +3 more

Olga Dvorkina is an Associate Professor of Medicine in the Rheumatology Division at SUNY Downstate Health Sciences University. She specializes in systemic lupus erythematosus (SLE) research and clinical trials, focusing on disease activity, nephritis, and therapeutic interventions. Education : MD from Kaunas Medical Institute (1984) Training : Fellowship in Rheumatology (SUNY Downstate, 1997-1999), Residency in Internal Medicine (St. John's Episcopal Hospital, 1994-1997), Internship (Leningrad City Hospital #38, 1984-1986) Her research interests include clinical trials for SLE therapies, such as abatacept and belimumab, and investigating associations between lupus and comorbidities like atherosclerosis, malignancies, and neuropsychiatric manifestations. She contributes to the development of lupus classification criteria and flare assessment tools. Her recent publications and abstracts focus on SLE treatment safety, corticosteroid use, infections, and multi-center registry analyses. She collaborates with pharmaceutical companies (Ocean Blue, GSK, Aurinia, Takeda) and national consortia, including the Lupus Clinical Trials Consortium and Systemic Lupus International Collaborating Clinics. Notable projects include Phase 3 trials for belimumab and voclosporin in lupus nephritis. She mentors Rheumatology fellows and participates in educational initiatives through textbook authorship and clinical research training.

• Rheumatology
• Autoimmune Diseases
• Clinical Trials
• +3 more

Russell S. Witte, PhD, is a Professor at the University of Arizona, jointly appointed in the departments of Medical Imaging, Optical Sciences, Biomedical Engineering, Surgery, and Neurosurgery. He is also a Professor at the BIO5 Institute and leads the Experimental Ultrasound & Neural Imaging Lab (EUNIL). His interdisciplinary work bridges physics, engineering, and medicine to develop innovative imaging technologies for diagnosing and treating neurological, cardiac, and oncological conditions. Education: PhD, Arizona State University, 2002 MS, Arizona State University, 2000 BS (Honors), Physics, University of Arizona, 1993 Dr. Witte's research centers on hybrid imaging modalities that combine ultrasound with light, microwaves, and electrical signals. His lab pioneers techniques such as photoacoustic imaging, acoustoelectric imaging, and elasticity mapping to visualize tissue function and mechanics deep within the body. These methods have transformative potential in functional brain imaging, cardiac electrophysiology, and early cancer detection. He is particularly interested in leveraging nanotechnology and smart contrast agents to enhance imaging specificity and therapeutic efficacy. His research program reflects a strong trend toward multimodal, physics-driven biomedical imaging, with applications spanning neuroscience, cardiology, and oncology. By integrating principles from biomedical engineering, optics, and applied mathematics, his work aims to bridge the gap between fundamental science and clinical translation. Scientific Affiliations and Memberships: Arizona Cancer Center Sarver Heart Center School of Mind, Brain, and Behavior Neuroscience Graduate Interdisciplinary Program Applied Mathematics Graduate Interdisciplinary Program Biomedical Engineering Graduate Interdisciplinary Program Dr. Witte is deeply committed to training the next generation of interdisciplinary scientists. He actively mentors students and encourages collaboration across engineering, medicine, and industry. His lab fosters a creative environment for dreamers, problem solvers, and innovators aiming to make transformative discoveries at the intersection of physics and medicine. He has established strong collaborative networks across the Colleges of Engineering, Optical Sciences, and Medicine, facilitating translational research with real-world clinical impact. Dr. Witte leads the Experimental Ultrasound & Neural Imaging Lab (EUNIL), a multidisciplinary research team dedicated to developing and refining cutting-edge imaging technologies. The lab focuses on translating novel physical principles into practical tools for disease diagnosis and treatment monitoring, particularly in chronic tendon disorders, arrhythmias, and breast cancer.

• Medical Imaging
• Biomedical Engineering
• Optical Sciences
• +15 more

Eduardo Mercado III is a Professor in the Department of Psychology at the University at Buffalo, College of Arts and Sciences. His research focuses on bioacoustics, cognitive psychology, and marine ecology, particularly the vocal behavior of humpback whales and its implications for understanding human impact on marine ecosystems. He is also known for his work in perceptual learning, autism spectrum disorder, and comparative cognition. Scientific Awards Guggenheim Fellowship Harvard Radcliffe Institute Fellowship Research Trends His recent publications emphasize bioacoustic analysis of humpback whale songs, including their spectral entropy, cyclical variations, and adaptive adjustments to anthropogenic noise. Additional work explores perceptual learning mechanisms in autism, neural network modeling for acoustic classification, and cognitive processes in canines and rodents. Projects Mercado’s “Singers as Sentinels” project combines acoustic analysis of humpback whale songs with public awareness initiatives about ocean noise pollution. The project will produce a book, Why Whales Sing and Dolphins Don’t , and a web-based interface for public engagement.

• Bioacoustics
• Cognitive Psychology
• Marine Ecology
• +5 more

Dr. Tim Conrad is a researcher at the Zuse Institute Berlin in the Visual and data-centric computing department under the Mathematics of Complex Systems division. He leads projects at the intersection of computational biology, AI, and medical data analysis. Projects: Geometric Learning for Single-Cell RNA Velocity Modeling, MODAL MedLab, Sparse Compressed Sensing in -Omics Data, BIFOLD (Big Data and Machine Learning) Research Networks: Affiliated with MATH+ and MODAL Research Campus His research focuses on applying machine learning , network optimization , and sparse data analysis to biological and medical challenges including disease modeling, microbiome dynamics, and ECG classification. Recent work explores hybrid PDE-ODE epidemic models and federated learning in healthcare. 2023-2025 publications highlight trends in AI for biological networks , temporal community detection , and medical signal processing . He co-authored studies on SARS-CoV-2 simulations, proteomics feature selection, and multi-label ECG analysis. His 2004 doctoral thesis at Monash University laid foundations for later work in metabolic pathway analysis. Awarded as a Zuse Fellow , he contributes to open science initiatives like FAIR data sharing . Collaborations span institutions including Freie Universität Berlin and Charité in medical informatics and clinical applications.

• Bioinformatics
• Computational Biology
• Machine Learning
• +5 more

Dr. Gary Glover is a Professor of Radiology (Radiological Sciences Lab) at Stanford University , with courtesy appointments in Psychology and Electrical Engineering. His work focuses on the physics and mathematics of MRI, particularly rapid scanning methods using spiral k-space trajectories for functional brain imaging and multimodal neuroimaging (fMRI/EEG/fPET/fNIRS) combined with neuromodulation techniques like TMS and transcranial ultrasound. Academic Appointments: Radiology, Psychology, Electrical Engineering Professional Affiliations: Bio-X, Stanford Cancer Institute, Wu Tsai Neurosciences Institute Research Interests include: Development of blood oxygen level-dependent (BOLD) and viscoelastic contrast in MRI Functional MR Elastography for brain activation mapping Optimization of MR-ARFI for transcranial ultrasound guidance Automated spinal cord segmentation (EPISeg) using machine learning Scientific Awards : National Academy of Engineering (2013) Gold Medal, ISMRM (2000) Steinmetz Award, General Electric (1985) Lauterbur Lecture, ISMRM (2018) Recent Publications analyze: Fast fMRI sampling and spurious signal correction Dissociated patterns in default mode network anti-correlations Neural correlates of collaborative behavior in triadic fMRI Salience network contributions to depression pathophysiology

• Magnetic Resonance Imaging (MRI)
• Functional MRI (fMRI)
• Biomedical Imaging Physics
• +6 more

Sergio Infante, MD, is an Associate Professor in the Department of Medicine at the School of Medicine and an Assistant Professor in the Department of Pharmacy Practice at the School of Pharmacy, both at Loma Linda University. His dual appointment reflects his interdisciplinary expertise in clinical nephrology and pharmacy practice, particularly in managing patients with kidney disease and optimizing medication regimens in renal impairment. Associate Professor, Department of Medicine, School of Medicine, Loma Linda University Assistant Professor, Department of Pharmacy Practice, School of Pharmacy, Loma Linda University Dr. Infante's research focuses on nephrology, transplantation, and pharmaceutical care in chronic and critical illness. His work addresses key clinical challenges such as drug dosing in continuous renal replacement therapy, bone health in dialysis patients, outcomes in kidney transplant recipients, and mental health in end-stage renal disease. He also investigates interdisciplinary models of care to improve patient adherence and outcomes in dialysis. His recent publications (2017–2024) demonstrate consistent scholarly output across nephrology, pharmacy, and internal medicine journals. These studies include case reports, clinical research, and interdisciplinary reviews, with a strong emphasis on practical applications in patient management. Themes in his research include mineral and bone disorders in CKD, ultrafiltration strategies, post-transplant complications, and the intersection of mental health with chronic kidney disease. Dr. Infante has been actively involved in multiple research projects, including investigator roles in industry-sponsored and internally funded studies. Notably, he served as Principal Investigator (PD/PI) on a grant from LLU-GRASP (2021–2025) examining lithium use in depression and suicidal ideation among ESRD patients, indicating leadership in psychonephrology research. Evaluation of polymyxin B hemoperfusion in septic shock (EUPHRATES) – Investigator (Spectral Diagnostics Inc., 2014–2015) Assessment of kidney disease in COVID-19 patients – Investigator (LLU Dept. of Medicine, 2021) Literacy and numeracy in dialysis medication labeling – Investigator (LLU Dept. of Pharmacy, 2019) Clinical outcomes of induction therapies in transplant patients – Investigator (LLU Transplantation Institute, 2007–2015) Role of lithium in depression in ESRD – PD/PI (LLU-GRASP, 2021–2025) While no formal lab or team is explicitly mentioned, his collaborative publications and project leadership suggest active participation in multidisciplinary research teams involving nephrology, pharmacy, psychiatry, and transplantation. His future work appears to focus on mental health in renal populations, patient education, and precision dosing in critical care nephrology.

• Nephrology
• Pharmacy Practice
• Internal Medicine
• +12 more

Sandeep Kumar Mishra, PhD, is an Associate Research Scientist in the Department of Radiology & Biomedical Imaging at Yale School of Medicine, where he holds a primary appointment in the Magnetic Resonance Research Center within the Division of Bioimaging Sciences. He completed his doctoral training at Pondicherry University (2017) and finished post-doctoral research at Yale in 2024 before transitioning to his current research-intensive faculty role. Education: PhD, Pondicherry University – 2017 Post-doctoral Associate, Yale University – 2024 Research Focus: Mishra’s work integrates multinuclear magnetic resonance spectroscopy, responsive paramagnetic probes, and nano-constructs to quantify the tumor microenvironment. Major themes include in-vivo mapping of interstitial pH and sodium gradients in gliomas, development of Fe(II)/Co(II)/Ni(II)-DOTA tetraglycinate complexes for simultaneous pH–temperature sensing, and engineering dual-modal nano-agents that couple MR angiography with therapeutic delivery (chemo-photothermal, cryo-ablation, MMP inhibition). Publication Trends: Across 28 peer-reviewed articles (2016-2025) he demonstrates a sustained trajectory in cancer imaging, moving from theranostic nanoparticles toward sophisticated spectroscopic imaging of tumor acid–base and ionic homeostasis, with increasing translational orientation involving rodent glioma and hepatocellular carcinoma models. Collaborations & Affiliations: He is embedded in Yale’s inter-disciplinary MR research ecosystem, collaborating recurrently with faculty in Radiology, Biomedical Engineering, and the Magnetic Resonance Research Center (D. Coman, F. Hyder, P. Herman, J. Verhagen, J. Santana, A. Shewarega). Contact: sandeepkmishra11@gmail.com | Magnetic Resonance Research Center, 300 Cedar Street, New Haven, CT 06519, USA

• Magnetic resonance spectroscopic imaging
• Tumor micro-environment imaging
• Multinuclear MRI (¹H/²³Na)
• +4 more