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Brent DoironView profile

Professor

• Computational Neuroscience
• Neural Networks
• Theoretical Neuroscience
• +2 more

Brent Doiron is a Professor at the University of Chicago, holding appointments in the Departments of Neurobiology and Statistics, and serving on the Committee on Computational and Applied Mathematics (CCAM). His research integrates nonlinear dynamics and statistical mechanics to study neural circuit variability, focusing on mechanisms underlying neural coding and network learning through collaborations with experimentalists in sensory systems. Education: PhD in Physics (University of Ottawa, 2004) Postdoc: Center for Neural Science at New York University (2017) Previous Roles: Mathematics Professor at University of Pittsburgh (2007-2020), Co-Director of Neural Computation Program at Carnegie Mellon Neuroscience Institute Research interests center on neuronal population dynamics, recurrent circuit mechanisms, and computational neuroscience. Current work investigates correlated variability in cortical networks, inter-areal communication, and stochastic spiking models. Recent publications emphasize cortical stability/gain modulation, asynchronous/synchronous activity balance, and Bayesian inference frameworks. Key themes include sensory processing, network plasticity, and dimensionality reduction in neural coding. Scientific Awards Alfred P. Sloan Research Fellowship in Neuroscience Vannevar Bush Faculty Fellowship Chancellor’s Distinguished Research Award (University of Pittsburgh) Active grants include NIH R01 and R90/T90 awards for neuronal dynamics research and computational neuroscience training programs.

Harris H. WangView profile

Associate Professor

• Systems Biology
• Synthetic Biology
• Genome Engineering
• +17 more

Harris H. Wang is an Associate Professor in the Department of Systems Biology and Department of Pathology and Cell Biology at Columbia University's Vagelos College of Physicians and Surgeons, where he also serves as Interim Chair of Systems Biology. He is affiliated with the Center for Computational Biology and Bioinformatics (C2B2) and the Integrated Program in Cellular, Molecular and Biomedical Studies (CMBS). B.S., Physics and Mathematics, MIT Ph.D., Biophysics, Harvard University Dr. Wang's research lies at the intersection of systems and synthetic biology, focusing on developing foundational technologies for genome engineering, microbiome manipulation, and synthetic genomics. His lab pioneers methods such as MAGE, MAGIC, CAST, and CAMII to enable high-throughput genetic manipulation, in situ microbiome engineering, and AI-driven microbial culturomics. Key research themes include understanding microbial community dynamics, engineering cellular memory systems, designing biocontained genetic circuits, and applying synthetic biology to human health challenges in personalized medicine and infectious disease. His recent publications reveal a strong trend in spatial and functional metagenomics, CRISPR-based microbiome editing, and synthetic biology tools for data storage and genetic stability. The articles span high-impact journals like Nature , Science , and Nature Biotechnology , reflecting his leadership in developing scalable, programmable biological systems. Scientific Awards: NIH Director’s Early Independence Award Forbes 30 Under 30 in Science Sloan Research Fellowship NSF CAREER Award ONR Young Investigator Award Burroughs Wellcome Fund PATH Award Schaefer Scholar Blavatnik National Award Vilcek Prize PECASE Dr. Wang has advised numerous PhD and postdoctoral researchers, many of whom have gone on to independent scientific careers. His lab is supported by major grants from NIH, NSF, DARPA, DOE, and foundations including the Bill & Melinda Gates Foundation and CZ Biohub NY. He is actively involved in educational initiatives, including organizing Columbia’s iGEM team and the Cold Spring Harbor Laboratory Synthetic Biology course. The Wang Lab is based at the Columbia University Irving Medical Center and is part of national consortia such as the Engineering Biology Research Consortium (EBRC) and the Genome Project-Write (GP-Write) initiative. The lab develops and applies cutting-edge technologies in automation, machine learning, and synthetic biology to engineer microbiomes for applications in medicine, global health, and climate change.

Hauke SmidtView profile

Professor

• Microbiology
• Environmental Microbiology
• Gut Microbiota
• +4 more

Hauke Smidt is a Personal Professor at Wageningen University & Research, affiliated with the Molecular Ecology group within the Faculty of Veterinary Medicine and Animal Sciences. His research focuses on microbial ecology, particularly gut microbiota dynamics, antibiotic resistance, environmental microbiology, and the One Health framework. Smidt has supervised over 50 PhD students and contributed to 519 publications, including studies on microbiome resilience, fermented food impacts, and bioremediation strategies. Education and affiliations include leadership roles in projects addressing antimicrobial resistance, pig health, and drinking water microbiology. His work spans collaborations across Europe and Asia, with notable contributions to understanding microbial community responses to environmental stressors and dietary interventions. Smidt is actively involved in public outreach, as seen in media contributions discussing microbiome research and health benefits. Key projects include aquifer treatment for drinking water, microbiome simulation models, and combating plant pathogens. His awards and recognition are not explicitly listed, but his extensive publication record and project leadership highlight significant academic impact.

Tushar KrishnaView profile

Associate Professor

• Computer Architecture
• Interconnection Networks
• Networks-on-Chip
• +4 more

Tushar Krishna is an Associate Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology, with a courtesy appointment in the School of Computer Science. He earned his PhD in Electrical Engineering and Computer Science from MIT in 2014, an MSE in Electrical Engineering from Princeton University in 2009, and a B.Tech in Electrical Engineering from IIT Delhi in 2007. His research spans computer architecture, interconnection networks, networks-on-chip (NoC), and AI/ML accelerator systems, with a focus on optimizing data movement in modern computing platforms. His work is funded by NSF, DARPA, IARPA, SRC, Department of Energy, Intel, Google, Meta, Qualcomm, and TSMC. His papers have been cited over 17,000 times, with three receiving IEEE Micro's Top Picks recognition, one earning an honorable mention, and four winning best paper awards. Dr. Krishna leads the Synergy Lab at Georgia Tech and has developed several influential tools including ASTRA-sim for distributed AI/ML training, MAESTRO and SCALE-sim for accelerator design space exploration, and Garnet2.0 for NoC simulation. His recent work focuses on large language model acceleration, distributed training systems, and neuro-symbolic AI architectures. He has received numerous teaching and research awards including induction into the HPCA Hall of Fame (2022), the Class of 1940 Teaching Effectiveness Award (2018), and the Roger P. Webb Outstanding Mid-career Faculty Award (2024). HPCA Hall of Fame Inductee (2022) Roger P. Webb Outstanding Mid-career Faculty Award (2024) Richard M. Bass/Eta Kappa Nu Outstanding Junior Teacher Award (2023) Roger P. Webb Outstanding Junior Faculty Award (2021) Class of 1940 Course Survey Teaching Effectiveness Award (2018) Dr. Krishna currently serves as Associate Director for the Center for Research into Novel Computing Hierarchies (CRNCH) and co-chair of the Chakra Execution Traces and Benchmarks Working Group. He has held the ON Semiconductor (Endowed) Junior Professorship at Georgia Tech (2019-2021) and has been a visiting professor at MIT EECS, Harvard University CS, and a researcher at Intel's VSSAD group.

• Tissue Engineering
• Biofabrication
• Cartilage Regeneration
• +3 more

Prof. Marcy Zenobi-Wong is a Full Professor at ETH Zurich's Department of Health Sciences and Technology, specializing in biofabrication and tissue engineering. Her research focuses on cartilage regeneration using advanced biomaterials, including nanofilm coatings and 3D printing techniques. She holds patents in tissue engineering and has pioneered methods like filamented light (FLight) biofabrication for creating anisotropic tissues. Her academic journey includes a B.Sc. from MIT (1985), M.Sc. and Ph.D. from Stanford (1987, 1990), followed by postdoctoral work at the University of Michigan. She leads the Biofabrication Group at ETH, developing therapies for joint repair and regenerative medicine. Courses taught include Biomedical Engineering and Materials and Mechanics in Medicine . Research highlights include engineered hydrogels for cartilage protection, CRISPR-driven gene editing in chondrocytes, and biohybrid neural interfaces. Her work bridges material science, cell biology, and clinical applications, with a focus on translational medicine. Collaborative projects involve creating elastic cartilage grafts for microtia reconstruction and volumetric printing of complex tissue constructs.

• Neural Interfaces
• Micro/Nano Electro Mechanical Systems (MEMS)
• Biosystems & Computational Biology
• +3 more

Michel M. Maharbiz is a Professor in the Department of Electrical Engineering and Computer Science at the University of California, Berkeley. He leads research on miniaturized bioelectronic interfaces, including neural dust implants and cyborg insects. He holds affiliations with the Berkeley Sensor & Actuator Center (BSAC), Center for Neural Engineering & Prostheses (CNEP), and SWARM Lab. His education includes a Ph.D. in EECS from UC Berkeley (2003) and a B.S. in EE from Cornell University (1997). Maharbiz's research integrates MEMS, ultrasonic systems, and synthetic biology to develop wireless neural interfaces, implantable sensors, and biohybrid devices. Key focus areas are neural dust technology for peripheral nerve recording, magnetoelastic strain sensors for medical applications, and electrochemical biosensing using bacterial flagellar motors. His publications emphasize neural interfaces, ultrasonic implants, and biomedical monitoring. Recent articles explore ultrasonic power delivery (2025), radiation detectors for oncology (2025), and fracture-healing smart plates (2019). Trends include miniaturization of wireless implants, closed-loop therapeutic systems, and novel biomaterials. Scientific Awards: McKnight Technological Innovations in Neuroscience Award (2017) Chan-Zuckerberg Biohub Investigator (2017) NSF CAREER Award (2009) MIT TR10 Top Emerging Technology (2009) Bakar Fellows Spark Award (2012) He directs the Maharbiz Lab, advancing neural dust and bioelectronic interfaces. Projects include impedance-based fracture monitoring, carbon fiber neural arrays, and hernia repair sensors. Funding includes NSF and industry partnerships for implantable device development.

Alois Christian KnollView profile

Professor

• Robotics
• Artificial Intelligence
• Autonomous Systems
• +6 more

Prof. Alois Christian Knoll is a full professor at the Technical University of Munich (TUM) in the School of Computation, Information and Technology. His academic career includes roles at Bielefeld University and leadership in major EU initiatives like the Human Brain Project and ECHORD++. He specializes in robotics, AI, and autonomous systems, with a focus on medical robotics, sensor-based systems, and neuromorphic engineering. Knoll has supervised over 100 doctoral theses and authored/co-authored over 1,000 publications. Education: Diploma in Electrical Engineering (University of Stuttgart, 1985); PhD in Computer Science (Technical University of Berlin, 1988); Habilitation (TU Berlin, 1993). He has been at TUM since 2001, leading the Robotics, AI, and Real-Time Systems department. Research interests span autonomous systems, neuro-IT integration, and traffic simulation. Key projects include fortiss (Bavarian State Institute for Computer Science) and TUM-CREATE (Singapore collaboration). Awards include IEEE Fellow, University of Tokyo Fellow, and the Carl-Ramsauer-Prize (1990). Current roles include editorships in robotics journals, leadership in EU flagship projects, and teaching across multiple programs. His work bridges computer science, neuroscience, and engineering, with applications in healthcare, automotive systems, and urban mobility.

Belkis Ezgi ArikanView profile

Researcher

• Cognitive Neuroscience
• Neurophysiology
• Psychology
• +4 more

Belkis Ezgi Arikan is a researcher at Justus Liebig University Giessen , affiliated with the Department of Psychology and Sports Science . Her work focuses on sensorimotor integration, tactile suppression, and neural mechanisms underlying action-outcome monitoring. She collaborates with Prof. Dr. Fiehler and Dr. Voudouris on project A4 (Predictive somatosensory processing during voluntary movements). Department: Psychology and Sports Science Collaborators: Dr. Dimitris Voudouris, Prof. Dr. Katja Fiehler Her research investigates: How the brain processes self-generated vs. externally generated sensory feedback Neural correlates of tactile suppression networks Role of cerebellum and angular gyrus in temporal recalibration Modulation of BOLD responses during action monitoring Recent publications reveal trends in predictive coding , sensorimotor recalibration , and neural suppression mechanisms across tactile, visual, and multisensory domains. Her work employs neuroimaging techniques like fMRI and behavioral paradigms to study self-motion perception and feedback processing. She contributes to understanding how the brain distinguishes self-initiated from external sensory events, with implications for motor learning and perceptual timing mechanisms.

Christopher Thomas SegeView profile

Assistant Professor

• Anxiety Disorders
• Neurophysiology
• Emotional Processing
• +4 more

Christopher Thomas Sege, PhD is an Assistant Professor in the Department of Psychiatry and Behavioral Sciences at the Medical University of South Carolina (MUSC) College of Medicine. His research focuses on the neurophysiological mechanisms underlying anxiety disorders, particularly examining escape, avoidance, and approach behaviors in the anxiety disorder spectrum. Dr. Sege's primary research interests include: Anxiety Disorders and Emotional Processing Defensive Behaviors and Coping Mechanisms Neurophysiological Correlates of Emotional Anticipation Startle Response and Autonomic Nervous System Functioning Transcranial Magnetic Stimulation (rTMS) Applications His work bridges clinical psychology with neuroscience to understand how individuals with anxiety disorders process and respond to emotional stimuli. Dr. Sege leads the research study "Modeling and Modulating Mechanisms of Escape, Avoidance, and Approach in the Anxiety Disorder Spectrum" which investigates whether repetitive transcranial magnetic stimulation (rTMS) can alter how people with anxiety cope with emotional situations. This study involves measuring brain activation while participants view emotional pictures and undergo rTMS procedures. His publication record demonstrates expertise across multiple domains: Neurophysiological mechanisms of defensive behaviors Emotional anticipation and perception Startle modulation in anxiety disorders Borderline personality disorder research Development of experimental paradigms for emotional processing studies His research employs multiple methodologies including psychophysiology, event-related potentials, and neurostimulation techniques. Dr. Sege collaborates with researchers including Lisa McTeague, Bernadette Cortese, Carla Danielson, Thomas Uhde, and Aicko Schumann. His work appears in journals such as Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, Biological Psychology, and Psychophysiology.

Joe KableView profile

Associate Professor

• Decision Making
• Neuroeconomics
• Cognitive Neuroscience
• +2 more

Joe Kable, PhD, serves as the Baird Term Associate Professor of Psychology at the University of Pennsylvania, where his research investigates the neurophysiological basis of human decision-making through integrative approaches from experimental economics, cognitive neuroscience, and judgment psychology. His laboratory specializes in fMRI studies examining how subjective value representations guide choices involving immediate versus delayed rewards. Education: B.S. in Chemistry, Emory University PhD in Neuroscience, University of Pennsylvania Dr. Kable's research program centers on neural mechanisms of temporal discounting, risk assessment, and individual differences in choice behavior. His work demonstrates how socioeconomic status, aging, and clinical conditions modulate decision processes, with particular emphasis on hippocampal-prefrontal interactions during value computation. Recent studies reveal how time perception alterations affect neural activity in reward circuits and how social factors influence trust decisions across the lifespan. Analysis of his 15 most recent publications shows a strong methodological focus on fMRI and lesion studies, with growing clinical translation in depression, addiction, and dementia. Key thematic trends include the neural encoding of effort costs in social contexts, structural brain markers for impulsivity, and the dissociable roles of frontal subregions in persistence behaviors. His work consistently bridges basic decision neuroscience with real-world applications in mental health. Scientific Awards: No scientific awards mentioned in source material Dr. Kable leads an active research laboratory at Penn but the source text provides no details about graduate student advising or specific grant funding. His publications indicate collaboration with clinical researchers at the Penn Memory Center, particularly in aging-related decision studies. The laboratory employs multimodal neuroimaging techniques including resting-state fMRI, TMS, and lesion mapping to investigate decision circuits, with recent work extending to computational modeling of value representation and social cognition mechanisms.

Viola S. StoermerView profile

Assistant Professor

• Visual Perception
• Attention Mechanisms
• Working Memory
• +3 more

Viola S. Stoermer is Assistant Professor in Psychological and Brain Sciences at Dartmouth College, directing the BrainStörmer Lab. Her research examines cognitive and neural mechanisms of perception, attention, and memory using EEG and behavioral methods. Research investigates fundamental limits of selective attention and working memory capacity. Key findings demonstrate how meaningful objects expand memory capacity and how attention warps feature perception. Studies reveal cross-modal interactions where sounds influence visual processing and resolve ambiguities. Publications establish representational frameworks for attention, showing how feature-based selection operates globally. Research combines psychophysics with neural measures to characterize perceptual bottlenecks and capacity limits. Current Research Areas: Principles of selective attention in feature/space Meaningfulness effects on working memory capacity Auditory influences on visual perception

Rafał JończykView profile

Assistant Professor

• Affective Neuroscience
• Experimental Pragmatics
• Psycholinguistics
• +5 more

Rafał Jończyk is an Assistant Professor at the Department of Pragmatics, Faculty of English, Adam Mickiewicz University in Poznań, Poland, where he conducts research at the intersection of psycholinguistics, affective neuroscience, and bilingualism. His work primarily investigates how emotional processing differs between native and second languages using neurophysiological methods, particularly EEG. With a Ph.D. in English Linguistics from Poznań (2015) and postdoctoral experience at Pennsylvania State University, he has established himself as a leading researcher in bilingual emotional processing. His research interests span Affective Neuroscience , Experimental Pragmatics , Psycholinguistics , Bilingualism and Emotion , and the Neurophysiology of Creativity . His methodology heavily relies on EEG to examine language processing, with particular focus on emotional language comprehension and production in bilingual contexts. His work has demonstrated how bilinguals process emotional content differently in their native versus second languages, revealing reduced sensitivity to negative content in the second language. Jończyk's research program has evolved from early work on hemispheric specialization for emotional words to sophisticated EEG studies of emotional anticipation and metaphor processing in bilinguals. His most recent work explores hyperscanning methodologies to study real-time bilingual communication and the neural correlates of creative thinking in bilingual contexts. His publications show a clear progression from foundational studies of emotional word processing to increasingly complex investigations of emotional communication in naturalistic contexts. Cognitive Neuroscience Society Post-doctoral Fellows Award (2018) START scholarship for most talented young Polish scientists (2018) Scholarship from the Minister of Science and Higher Education (2020) Travel Grant Award for International Symposium on Bilingualism (2013) As Principal Investigator, Jończyk leads two major National Science Center projects examining psychophysiological correlates of affective language processing in bilinguals (2016-2018) and neurophysiological correlates of emotional speech production in bilingualism (2021-2025). He also participates in multiple international collaborations including NSF-funded research on divergent thinking in engineering education. His editorial roles include Topic Editor for Brain Sciences and Associate Editor for Applied Psycholinguistics, reflecting his standing in the field. He teaches courses in Psycholinguistics, Emotions in Social Communication, and Creativity and Language at the university level.

Andre LevchenkoView profile

Professor

• Systems Biology
• Signal Transduction
• Cell Communication
• +5 more

Andre Levchenko is the John C. Malone Professor of Biomedical Engineering at Yale University, with secondary appointments in the Department of Neurosurgery and affiliations with the Cancer Signaling Networks, Immunology, and the Yale Program in Neurodevelopment and Regeneration. His research focuses on systems biology, signal transduction, and cell-cell communication, utilizing microfluidics and computational modeling to study cancer progression, stem cell behavior, and neurological disorders. PhD, Columbia University MEng, Moscow Institute of Physics and Technology Levchenko's work explores how cells process dynamic signals to make critical decisions, particularly in glioblastoma migration, organoid development, and cardiovascular tissue engineering. His lab develops innovative microfluidic platforms and mathematical models to dissect multicellular communication and signaling networks. Recent publications highlight his contributions to understanding YAP-driven cancer invasion , NOTCH signaling in angiogenesis , and metabolic regulation of hypoxia responses . He has pioneered methods for organoid modeling and single-cell analysis , advancing precision in biological signaling studies. Scientific Awards : Computational Molecular Biology Post-Doctoral Fellowship (Burroughs Wellcome Fund) National Academies Keck Futures Conference Invitee Distinguished Guest Lecturer, University of Virginia American Asthma Foundation Early Excellence Award Fellow, American Institute for Medical and Biological Engineering Levchenko leads the Levchenko Lab at the Yale Systems Biology Institute, collaborating with institutions like Mayo Clinic and Yale Cancer Center. His research has received recognition in Faculty of 1000 and multiple journal highlights.

• Drug Delivery
• Nanomedicine
• Biopharmaceutics
• +7 more

Dr. Shyh-Dar Li is a Professor and Tong Louie Chair in Pharmaceutical Sciences at the University of British Columbia's Faculty of Pharmaceutical Sciences, where he also serves as Chair of Nanomedicine and Chemical Biology. With a BSc in pharmacy from National Taiwan University (1998) and PhD in pharmaceutical sciences from UNC Chapel Hill (2008), followed by postdoctoral training at UC San Diego's Moores Cancer Center (2009), Dr. Li has established himself as a leading researcher in advanced drug delivery systems. His research focuses on developing innovative nanomedicine platforms for targeted delivery of biological therapeutics including peptides, proteins, antibodies, and nucleic acids. Dr. Li's laboratory has pioneered several novel drug delivery approaches, particularly in lipid-based nanoparticles, phospholipid-free vesicles, and polymer systems for cancer immunotherapy, pain management, and protein delivery. His work bridges fundamental nanotechnology with translational applications for difficult-to-treat diseases. Analysis of his recent publications reveals a strong emphasis on tumor microenvironment modulation, endosomal escape mechanisms for nucleic acid delivery, and non-invasive delivery routes for protein therapeutics. His research demonstrates increasing sophistication in nanocarrier engineering, with recent work incorporating machine learning approaches to optimize nanoparticle design and expanding into immunomodulatory therapies that harness the body's immune system to fight cancer. Scientific Recognition: 2014 AFPC New Investigator Award 2013 AAPS New Investigator Award in Pharmaceutics and Pharmaceutical Technologies 2013 CIHR New Investigator Award 2013 CSPS Early Career Award 2012 Prostate Cancer Foundation Young Investigator Award Dr. Li's research program has been consistently supported by major Canadian funding agencies including CIHR, NSERC, and MITACS. He actively collaborates across disciplines and accepts graduate students into his research program, focusing on cutting-edge approaches to overcome biological barriers in drug delivery. His laboratory, the Laboratory of Targeted Drug Delivery and Nanomedicine, serves as a hub for innovation in pharmaceutical nanotechnology.

Nicolas MathevonView profile

Professor

• Acoustic Communication in Animals
• Bioacoustics
• Animal Behavior
• +7 more

Nicolas Mathevon is a Professor at the University of Saint-Etienne, with a focus on Animal Behavior and Bioacoustics . He currently serves as Director of Studies at Ecole Pratique des Hautes Etudes and leads the ENES Team . His research explores acoustic communication across diverse species, including crocodiles, seals, penguins, and humans, with particular emphasis on vocal recognition, signal evolution, and neurobiological underpinnings. Major collaborations include Dr. T. Aubin (CNRS), Dr. I. Charrier (marine mammals), Dr. N. Grimault (crocodilian bioacoustics), and Prof. D. Reby (human communication). He also co-edits a new book, The Voices of Nature , published by Princeton University Press. His recent work spans ecoacoustic monitoring for conservation, multi-modal communication in crocodiles, and cross-species analysis of distress signals in bonobos, chimps, and humans. Neurobiological studies include brain activation patterns in response to vocalizations and sound localization mechanisms in reptiles. Scientific Awards include senior membership in the Institut universitaire de France .