Michael Wheeler is a Professor in Philosophy at the University of Stirling, focusing on cognitive science, phenomenology, and the philosophy of technology. His work bridges existentialist philosophy with modern AI ethics and embodied cognition. Key Research Themes: Extended mind, distributed cognition, and transparency in smart machines. Recent Projects: Explore the societal impact of AI, cognitive change in the arts, and the interplay between aging and cognition. Selected Articles (2024-2019): His publications span topics like creativity and contingency in the arts, transparency in AI, and the evolutionary psychology of reasoning. Notable Contributions: Advocates for integrating phenomenology into cognitive science and challenges representationalist frameworks in AI and robotics.
Suradip Das is a Research Assistant Professor in the Department of Neurosurgery at the Perelman School of Medicine, University of Pennsylvania, where he serves as a Senior Research Investigator. His work bridges neural engineering and regenerative medicine to address critical challenges in nerve and muscle repair. His academic training includes: B.Tech in Biotechnology from Heritage Institute of Technology (2010) PhD in Biosciences and Bioengineering from Indian Institute of Technology Guwahati (2016) Dr. Das specializes in biomaterials development , peripheral nerve injury models , neuromuscular interface engineering , and stem cell-based regeneration . His research pioneers innervated tissue-engineered muscle constructs, demonstrating how motor neurons and endothelial cells synergistically enhance skeletal myocyte maturation. He innovates custom mechanobioreactors that apply tensile forces to guide nanofiber alignment for optimal myofiber formation, significantly advancing volumetric muscle loss treatments. Analysis of his 15 most recent publications reveals a dominant focus on neuromuscular regeneration (75% of articles), with emerging exploration of psychedelic compounds in neural repair. His work consistently integrates human iPSC-derived models , multi-cellular co-cultures , and large-animal validation to address translational gaps. Key trends include optogenetic control of motor units (2023), porcine nerve injury models (2020), and the critical role of pre-innervation in creating pro-regenerative microenvironments (2020-2022). As a core member of the Cullen Lab, Dr. Das collaborates on developing biofabricated neural microtissues for delayed nerve fusion and rapid functional recovery. His research directly informs clinical strategies for peripheral nerve repair and muscle regeneration through rigorous mechanistic studies and innovative engineering solutions.
Dr. Peter L. Latchman serves as a Professor in the Department of Health and Movement Sciences at Southern Connecticut State University. He holds a Doctorate in Applied Physiology from Columbia University and is an Overseas Fellow of the Royal Society of Medicine. His academic career spans decades of research in autonomic cardiovascular regulation with applications to diverse populations including Young adults post-COVID-19 infection Ethnic disparities in baroreflex sensitivity Autonomic dysfunction in obese children Central hemodynamic analysis Recent scholarship focuses on autonomic modulation patterns and their implications for cardiovascular health, while his teaching portfolio encompasses both graduate and undergraduate courses in exercise physiology, cardiac rehabilitation, and medical terminology. Dr. Latchman has delivered presentations at international symposia on topics including Baroreflex sensitivity in African American populations Effects of aerobic capacity on autonomic recovery Vascular physiological assessment techniques Scientific contributions include Overseas Fellowship, Royal Society of Medicine $10,000 grant for cardiovascular assessment in autistic children (2023) He maintains active research collaborations with institutions such as East China Normal University and Hong Kong Baptist University.
David N. Ku is the Lawrence P. Huang Endowed Chair for Engineering Entrepreneurship and Regents' Professor at Georgia Institute of Technology. He holds appointments in the School of Mechanical Engineering (Woodruff School) within the College of Engineering. His research focuses on biofluid mechanics, medical device innovation, and translational technology, with emphasis on thrombosis mechanisms and vascular diseases. Education: M.D. from Emory University (1984); Ph.D. and M.S. from Georgia Tech (1983, 1982); B.A. from Harvard University (1978). Research interests include unsteady fluid dynamics in vascular systems, nanoparticle medical devices for thrombosis prevention, and porous thrombus applications for hemostasis. His work bridges bioengineering with entrepreneurship, teaching product development at the Business School and collaborating with Emory University, Paris Tech-Mines, and ETH Zurich. Key awards include the American Institute for Medical and Biological Engineering Fellowship, DLA Piper Inventor of the Year, and NSF Presidential Young Investigator Award. His research is funded by NIH, NSF, and industry partners. Labs/Teams: Leads a lab using microfluidics and computational mechanics for vascular disease solutions. Collaborates on technologies to address post-partum hemorrhage and traumatic bleeding.
Jennifer Lewis is the Hansjorg Wyss Professor of Biologically Inspired Engineering and Jianming Yu Professor of Arts and Sciences at Harvard University's Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS). Her research focuses on bioengineering, materials science, and advanced manufacturing, with emphasis on 3D-printed functional materials, organoids, and soft robotics. She leads the Lewis Research Group, which develops biomimetic technologies for regenerative medicine, energy systems, and robotics. Lewis holds appointments in SEAS, the Department of Chemistry and Chemical Biology, and the Wyss Institute for Biologically Inspired Engineering. Her research areas include applied mathematics, fluid mechanics, soft matter physics, and bioengineering applications such as kidney organoid models, vascularized tissues, and programmable materials. Notable innovations include kidney organoid-on-chip systems for drug testing, 3D-printed liquid crystal elastomers, and bioprinted cardiac tissues. Lewis was awarded the 2025 James Prize in Science and Technology Integration for pioneering interdisciplinary research. Her lab's projects span organ building blocks, immune-response modeling in transplanted tissues, and acoustophoretic printing techniques for high-resolution bioprinting. Collaborations include the NIH Somatic Cell Genome Editing Program and industry partnerships for bioprosthetic valve research. She advises on grants totaling over $20M and mentors a multidisciplinary team of postdocs and graduate students in materials science, biomedical engineering, and mechanical engineering. Lewis' lab facilities include the Pierce Hall lab (Cambridge) and Allston SEAS campus, with state-of-the-art 3D printing systems, microfluidics platforms, and bioreactors for organoid culture. Current projects aim to engineer functional human tissues for therapeutic applications and develop smart materials with programmable mechanical/chemical responses.
Darryl Overby is a Professor of Mechanobiology in the Department of Bioengineering at Imperial College London's Faculty of Engineering. His academic affiliations include the CRUK Convergence Science Centre, Cancer Technology Network, and multiple interdisciplinary networks focused on ocular biomechanics, vascular science, and regenerative medicine. He holds an Orcid identifier (0000-0001-9894-7515) and was previously affiliated with Tulane University and Harvard Medical School. Education: Ph.D. in Mechanical Engineering (2002) from MIT under Prof. Roger Kamm, followed by postdoctoral research at Harvard Medical School under Prof. Donald Ingber. His work focuses on cellular biomechanics, mechanotransduction, and the role of mechanical forces in intraocular pressure regulation and glaucoma pathophysiology. Research interests span mechanobiology of Schlemm’s canal endothelial cells, nitric oxide signaling in ocular tissues, and development of organ-on-chip models for studying aqueous humor outflow dynamics. His lab explores how mechanical signals drive transcellular pore formation and how these mechanisms fail in glaucomatous conditions. Key contributions include consensus guidelines for Brillouin microscopy measurements, ex vivo perfusion studies, and the role of TRPV4 channels in mechanosensing. His work integrates engineering techniques with clinical ophthalmology to advance therapies targeting glaucoma and ocular hypertension. Professional activities include leadership roles in the Ocular Biomechanics Network and Wound Healing and Regeneration Network. His research has led to patents for devices enhancing aqueous humor drainage and RNAi-based therapies.
Meng Li is the Noah Harding Associate Professor of Statistics at Rice University's School of Engineering. He specializes in Bayesian analysis, machine learning, and statistical theory. His research bridges methodological development and applications in biomedical sciences, materials informatics, and neuroimaging. Li holds a Ph.D. from North Carolina State University and a B.S. from Sun Yat-sen University. He has been recognized with awards including the 2020 Rice Engineering Excellence Award and the Ralph E. Powe Junior Faculty Enhancement Award. Li's research focuses on probabilistic modeling of complex data such as images, functional data, and networks. His funded projects include AI frameworks for pancreatic cancer biomarkers and Bayesian spatiotemporal modeling of marine ecosystems. He collaborates with institutions like Houston Methodist and Baylor College of Medicine on medical applications. His teaching includes advanced courses like Bayesian Statistics and Advanced Bayesian Inference. He advises over 30 students, many of whom have pursued academic and industry roles. Li serves as an associate editor for Bayesian Analysis and the new ACM Transactions on Probabilistic Machine Learning.
Vitaly Kheyfets, PhD, serves as Associate Professor in the Department of Pediatrics-Critical Care Medicine at the University of Colorado Anschutz Medical Campus School of Medicine, where he directs research at the intersection of pediatric critical care and cardiopulmonary pathophysiology with emphasis on pulmonary arterial hypertension (PAH). His primary research focuses on right ventricular adaptation to pulmonary hypertension, utilizing machine learning-driven multi-omics analysis to identify disease biomarkers and molecular networks. He pioneers computational fluid dynamics approaches for hemodynamic modeling in congenital heart conditions like Glenn physiology, while also investigating sleep oscillatory patterns as neurodegenerative biomarkers. His methodology integrates proteomics, spatial transcriptomics, and pressure waveform analysis to dissect vascular remodeling mechanisms. Publication trends reveal a strong emphasis on translating computational models into clinical applications for PAH prognostication, with recent work developing AI-cooperative diagnostic platforms and characterizing microvascular changes in the right ventricle. Cross-disciplinary collaborations span proteomics, imaging, and sleep neuroscience, demonstrating consistent innovation in both pulmonary hypertension and neurodegenerative disease biomarker discovery.
Hector Aguilar-Carreno is a Professor of Virology in the Department of Microbiology and Immunology at Cornell University's College of Veterinary Medicine, where he also serves as Associate Vice Provost in the Office of the Vice President for Research and Innovation. His research focuses on high-mortality paramyxoviruses including Nipah virus (NiV) and Hendra virus (HeV), as well as coronaviruses and other enveloped viruses. Dr. Aguilar-Carreno received his BS in Biochemical Engineering from Instituto Tecnologico de Tepic, Mexico, followed by an MS in Biology from California State University, Los Angeles, and a PhD in Biochemistry and Molecular Biology from the University of Southern California. He completed postdoctoral training in Virology at UCLA under Dr. Benhur Lee before becoming an Assistant Professor at Washington State University's Paul G. Allen School for Global Animal Health. His research spans four main areas: (1) Viral entry mechanisms, where his lab has identified novel domains in viral glycoproteins important for membrane fusion; (2) Viral egress, using multi-omics approaches to study viral assembly and budding; (3) Vaccine development using viral-like particles to generate neutralizing antibodies; and (4) Antiviral discovery targeting enveloped viruses. His lab employs innovative techniques including Flow Virometry and Raman Spectroscopy to study viral entry processes. Analysis of his recent publications reveals a strong focus on paramyxoviruses (particularly Nipah and Hendra viruses), coronavirus research, and the development of broad-spectrum antivirals. His work spans fundamental virology to translational applications, with numerous publications in high-impact journals including Nature, Science, and Cell Reports. President Elect of the American Society of Virology Chair of the American Society of Virology Diversity, Equity, and Inclusion committee Chair of the Cornell CVM Diversity Committee Director of the Cornell Program for Achieving Career Excellence Chair of 16 PhD student thesis committees Dr. Aguilar-Carreno has served on numerous scientific committees including the American Society for Virology Education Committee, the American Society of Microbiology Committee for Minority Education, and as a Standing Member of the VIR-A NIH study section. His leadership extends to chairing the Cornell CVM Diversity Committee and serving on the Cornell presidential postdoctoral fellowship committee, demonstrating significant commitment to diversity and mentorship in science.
Maria T. Schultheis is a Professor in Drexel University's Department of Psychological and Brain Sciences and holds a joint appointment in the School of Biomedical Engineering, Science and Health Systems. As Interim Director of Clinical Training, she oversees clinical psychology education. She earned her PhD in Clinical Psychology from Drexel University in 1998. Her research focuses on neurorehabilitation, particularly applying virtual reality (VR) technology to assess and improve driving capacity and everyday functioning in individuals with neurological disorders like traumatic brain injury, stroke, and multiple sclerosis. She has pioneered VR-based driving simulators for clinical evaluation and rehabilitation. Her work integrates clinical psychology, engineering, and transportation science, addressing cognitive, physical, and behavioral demands of driving post-neurological injury. Key projects include developing driving assessment protocols for disabled populations and investigating fatigue management in MS patients. Her interdisciplinary approach has been funded by NIH, NIDRR, and the NMSS. Notable awards include the 2007 APA Early Career Award (Division 40) and recognition from the National Academy of Neuropsychology. Schultheis leads the Applied Neuro-Technologies Lab, emphasizing ecologically valid methodologies. Over 35 peer-reviewed publications and presentations at international forums highlight her contributions. She serves on the National Research Council’s Transportation Research Board, influencing policy on neurological disorders and mobility. Grants have supported projects like VR-based financial competency assessments and understanding dual-task demands in post-concussion driving. Her research also explores decision-making competency in young adults and the neurocognitive correlates of risky driving behaviors. Collaborations with biomedical engineers and transportation specialists reflect her commitment to bridging clinical practice and technological innovation for functional recovery.
Jennifer L. West is the Dean of the University of Virginia School of Engineering and Applied Science and holds the Saunders Family Professorship in Engineering. She is a dual professor in Biomedical Engineering and Mechanical and Aerospace Engineering. Dean West has a 30-year record as a researcher, educator, inventor, and entrepreneur, focusing on biomaterials, nanotechnology, and tissue engineering to address unmet medical needs, particularly in cancer therapy. Her education includes a B.S. from MIT (1992) and a Ph.D. from the University of Texas at Austin (1996). Before UVA, she was at Duke University as the Fitzpatrick Family Distinguished Professor of Engineering and Associate Dean for Ph.D. Education. Research Interests: Biomaterials and biosynthesis Nanotechnology and tissue engineering Cancer therapy through engineered materials Scientific Awards: Member of the National Academy of Medicine (2023) Member of the National Academy of Engineering (2016) Over 20 patents, including foundational work for Nanospectra Biosciences’ clinical trials in cancer therapy Grants & Initiatives: Leading UVA Engineering’s focus on research, experiential learning, and entrepreneurship Recipient of a $900,000 grant for character-building education initiatives Labs & Teams: Developed hydrogel platforms for tissue integration, vascularization, and drug delivery Pioneered gold nanoshell-based photothermal cancer therapy
Kristina Schoonjans is an Associate Professor at EPFL’s School of Life Sciences, where she leads the Laboratory of Metabolic Signaling (UPSCHOONJANS). Her research focuses on the molecular mechanisms of bile acid signaling, nutrient sensing, and intermediary metabolism, particularly in the context of metabolic disorders such as obesity, fatty liver disease, and cancer. She investigates how the liver-gut-brain axis integrates metabolic signals through nuclear receptors and mitochondrial dynamics. Her research interests include: Bile acid signaling and its role as a hormonal regulator Nutrient and metabolite sensing in energy homeostasis Intermediary metabolism and metabolic disorders Role of nuclear receptors (e.g., TGR5, LRH-1) in liver, gut, and adipose tissue Mitochondrial dynamics and fission in metabolic regulation Organoid models for studying liver and intestinal metabolism Systems genetics using BXD mouse populations The most recent articles highlight a strong focus on bile acid signaling, particularly through TGR5 and LRH-1, in regulating metabolic health. Themes include the conversion of white fat to beige fat (beiging), hepatic tumorigenesis, mitochondrial fission, and the use of organoid and genetically engineered mouse models. There is a consistent emphasis on translational applications for obesity, fatty liver disease, and cancer. Scientific honors include: Windaus Prize from the Dr. Falk Foundation (2010, shared with Johan Auwerx) for the discovery of the signaling/endocrine function of bile acids Prof. Schoonjans actively supervises PhD students and has advised numerous doctoral candidates who have since completed their theses. Her lab is supported by multiple grants from Swiss and international funding agencies, including the Swiss National Science Foundation, EPFL, CONACYT, and the Foundation for Health and Education. She teaches in several doctoral programs at EPFL, including Life Sciences Engineering, and contributes to education through the SSV and EDBB/EDCB/EDMS-ENS programs. The Schoonjans Lab brings together scientists, doctoral assistants, and technicians working on projects related to metabolic signaling. The team uses advanced techniques such as genetically modified mouse models, organoid cultures, and multi-omics (metabolomics, proteomics, transcriptomics) to study the liver-gut and brain-liver axes. The lab has a strong track record of high-impact publications and collaborations with institutions worldwide.
Uwe Himmelreich is a Full Professor at the Faculty of Medicine, KU Leuven , leading the Biomedical MRI unit. He is actively involved in the Medical Imaging Division , KU Leuven Brain Institute , KU Leuven Institute for Integration of Micro- and Nano-scale Technologies , and KU Leuven Cancer Institute . Role: Full Professor and Head of Biomedical MRI Affiliations: Faculty of Medicine, Medical Imaging Division, LBI, LIMNI, LKI His research spans neuroscience , cardiovascular imaging , and nano/micro-scale technologies . Key projects include: MindMAP: Radiotherapy-induced neurotoxicity in juvenile brains Preclinical cancer models for oral tumors Quantitative T2 mapping of lung disease in murine models Neuroinflammation and cognitive decline in cryptococcosis Resistance training effects on cortical thickness in aging cohorts His work integrates MRI , multi-photon microscopy , and novel contrast agents for longitudinal in vivo studies. Methodologies include vascular density mapping , proton therapy verification , and preclinical radiotherapy evaluation . Notable contributions include: 2025: JAK/STAT inhibition in malaria-induced inflammation 2025: Manganese-enhanced MRI for cardiac injury 2025: Quantitative lung imaging at 9.4T 2024: IVIM as vascular density marker in rat brain 2024: Phase-change ultrasound agents for proton therapy
Ying Ge is a Professor at the University of Wisconsin–Madison, jointly appointed in the Department of Cell and Regenerative Biology and the Department of Chemistry. Her research integrates chemistry, biology, and medicine, focusing on advanced mass spectrometry-based proteomic and metabolomic technologies to address cardiovascular diseases. Education: B.S., Peking University (1997) Ph.D., Cornell University (2002) Ying Ge's work centers on developing ultra high-resolution mass spectrometry platforms for top-down proteomics and metabolomics, applied to systems biology studies of heart failure and regenerative medicine. Key projects include myofilament protein modification mapping, stem cell therapy evaluation, and biomarker discovery for cardiac conditions. The 15 most recent articles highlight her lab's methodological innovations (e.g., photocleavable surfactants, native mass spectrometry) and biological discoveries in AMPK structural heterogeneity, RBM20-mediated cardiotoxicity, and sarcomere-metabolism cross-talk during regeneration. These publications span proteomics, metabolomics, structural biology, and clinical applications.
Xenophon Papademetris is a Professor of Biomedical Informatics & Data Science and Radiology & Biomedical Imaging at Yale School of Medicine. He serves as Associate Director of Biomedical Imaging Data Sciences at Yale Biomedical Imaging Institute and directs the Medical Software and Medical Artificial Intelligence Certificate Program. PhD in Electrical and Information Sciences from Yale University (2000) BA from Cambridge University (1994) Postdoctoral Fellowship at Yale University (2002) His research focuses on medical image analysis, machine learning, and biomedical software development. He has developed tools like BioImage Suite Web and contributed to standards committees at the Association for the Advancement of Medical Instrumentation (AAMI). His work spans modalities including MRI, CT, PET, and optical imaging. Recent publications emphasize neuroimaging analysis, explainable AI in healthcare, and multimodal data integration across species. He leads NIH-funded research under the BRAIN Initiative (R24 MH114805) and has authored a textbook on Medical Software published by Cambridge University Press. IEEE Senior Member Yale Brown-Coxe Postdoctoral Fellowship Harding Bliss Prize for Excellence in Engineering He directs the BioImage Suite Project, creating web-based image analysis tools using JavaScript and WebAssembly. His teaching includes both academic courses and a Coursera program on Medical Software with over 14,000 enrollments.
