جستجوی استاد راهنمای دانشگاهی

Tao Wuمشاهده پروفایل

استادیار

• Epigenetics
• Cancer Biology
• DNA Methylation
• +۳ مورد دیگر

Tao Wu is an Assistant Professor in the Department of Molecular and Human Genetics at Baylor College of Medicine in Houston, TX. His research focuses on deciphering epigenetic mechanisms underlying cancer therapeutic resistance, particularly exploring DNA modifications like N6-methyladenine (6mA) and their roles in glioblastoma and other cancers. He employs advanced genomic technologies such as SMRT-ChIP and single-cell sequencing to study epigenetic regulators and their functional implications. Dr. Wu received his PhD from the University of Chinese Academy of Sciences (2008) and completed postdoctoral training at the Yale Stem Cell Center. His work integrates systems biology, genomics, and biochemistry to identify novel epigenetic drug targets. Key discoveries include identifying ALKBH1 as a 6mA demethylase and revealing 6mA’s role in hypoxia response pathways linked to drug resistance in glioblastoma. His research interests emphasize understanding dynamic epigenetic regulation in cancer, with projects focused on: Elucidating driver epigenetic mutations in cancer progression Developing therapies to overcome treatment resistance via epigenetic modulation Characterizing novel DNA modifications (e.g., 6mA) and their regulatory mechanisms Recent work highlights the lab’s focus on single-molecule sequencing and CRISPR-based screening to uncover epigenetic pathways in cancer models. Funding support includes grants from the Cancer Prevention Research Institute of Texas (CPRIT).

Alice Eldridgeمشاهده پروفایل

استاد

• Ecoacoustics
• Acoustic Ecology
• Music Technology
• +۴ مورد دیگر

Prof Alice Eldridge is Professor of Sonic Systems (Music) at the University of Sussex, School of Media, Arts and Humanities. She holds leadership roles including Director of the Sussex Humanities Lab and Co-director roles in interdisciplinary research centers. Her academic journey includes a BSc Psychology (University of Leeds), MSc Evolutionary and Adaptive Systems, and PhD in Computer Science and AI (University of Sussex). Research focuses on ecoacoustics, soundscapes, and music-technology intersections with ecology. Key areas include acoustic complexity analysis, participatory conservation projects (e.g., WILDSENS projects), and feedback musicianship. Fieldwork spans tropical, temperate, and Arctic regions including Indonesia, Ecuador, and Swedish Lapland. Collaborates with indigenous communities and organizations like Peck Labs and Emute Lab. Music performance includes free jazz, chamber compositions, and pop bassistry with groups like Collectress and Feedback Cell. Grants include AHRC/NERC/EU funding for projects like WILDSENS Arctic mapping and environmental wellbeing studies. Over 70 publications span ecoacoustic methodologies, digital humanities, and sound-based conservation. Labs affiliated with: Sussex Humanities Lab, Peck Labs (ecology), Emute Lab (music tech). Teaching includes BA Music Technology and MA Sonic Media programs.

Josh Bongardمشاهده پروفایل

استاد

• Evolutionary Robotics
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Josh Bongard is a Professor in the Department of Computer Science at the University of Vermont, within the College of Engineering and Mathematical Sciences. He holds the Cyril G. Veinott Green and Gold Professorship and directs the Morphology, Evolution & Cognition Laboratory. He earned his Ph.D. from the University of Zurich. Affiliations: University of Vermont, Department of Computer Science, College of Engineering and Mathematical Sciences. Education: Ph.D. in Computer Science from the University of Zurich. His research focuses on evolutionary robotics, embodied intelligence, and synthetic biology. Key projects include developing soft robots, Xenobots (biological machines), and exploring how morphology influences cognition. His work bridges robotics, biology, and artificial intelligence, emphasizing adaptability and resilience. Recent articles highlight advancements in shape-changing robots, self-replicating organisms, and the ethical implications of machine behavior. He has pioneered methods for co-optimizing robot morphology and control systems, enabling more efficient and adaptive designs. Awards: Presidential Early Career Award for Scientists and Engineers (PECASE, 2010) Microsoft Research New Faculty Fellowship (2007) MIT Technology Review's Top 35 Innovators Under 35 (2007) Cozzarelli Prize He advises graduate students in robotics and teaches courses like Evolutionary Robotics and Human-Computer Interaction. His lab collaborates with NASA, NSF, and DARPA, advancing robotics through biologically inspired approaches. Future work includes developing systems that integrate biological and computational principles for novel applications. His book How the Body Shapes the Way We Think explores embodied cognition, and he directs outreach programs like Twitch Plays Robotics to engage the public in robotics innovation.

William L. Kathمشاهده پروفایل

استاد

• Quantitative Biology
• Neuroscience
• Optics
• +۳ مورد دیگر

William L. Kath is the Margaret B. Fuller Boos Professor of Engineering Sciences and Applied Mathematics at Northwestern University's McCormick School of Engineering. He holds affiliations as Deputy Director of the National Institute for Theory and Mathematics in Biology, courtesy faculty in Neurobiology, and member of the Northwestern Institute on Complex Systems. His research bridges quantitative biology, neuroscience, and optics, focusing on dynamical models of biological systems and high-speed optical communication systems. Key projects include the EMBEDR algorithm for single-cell omics analysis and computational models of temperature sensing in Drosophila. Research interests emphasize quantitative and computational biology, particularly circadian rhythms, neuronal circuit modeling, and single-cell genomics. Collaborations include the Gallio lab (Drosophila thermosensation), Daniel Dombeck's lab (hippocampal neuron behavior), and Nelson Spruston's group (hippocampal microcircuits). His work on optics includes nonlinear pulse propagation and rare event analysis in fiber optics. Scientific awards include Fellowships from the Society for Industrial and Applied Mathematics and the Optical Society of America. He advises over 20 graduate students and has developed courses like ESAM 472 (RNA sequencing analysis) and ESAM 370 (Computational Neuroscience). Current students include Richard Suhendra and Nan Ding (jointly advised). Labs/teams: Leads the National Institute for Theory and Mathematics in Biology, co-leads the Gallio lab collaboration on thermosensory circuits, and maintains active projects in computational neuroscience and optics at Northwestern.

Nicola Bezzoمشاهده پروفایل

دانشیار

• Robotics
• Autonomous Systems
• Control Barrier Functions
• +۵ مورد دیگر

Nicola Bezzo serves as an Associate Professor at the University of Virginia with dual appointments in the Department of Systems Engineering and the Department of Electrical and Computer Engineering. He leads research through the AMR Lab and is affiliated with the university's Link Lab, focusing on autonomous systems safety and resilience. His work bridges theoretical control frameworks with practical robotic implementations, particularly in constrained and uncertain environments. Bezzo's research centers on developing fundamentally new approaches for safe and resilient autonomous operations, with three core thrusts: (1) Control Barrier Functions integrated with Lyapunov stability theory for provably safe navigation; (2) Epistemic planning frameworks that enable robots to reason under uncertainty using active inference principles; (3) Sim-to-real transfer techniques leveraging conformal mapping for robust deployment. His work consistently addresses the critical challenge of maintaining system integrity when operating under sensor limitations, communication constraints, and unexpected environmental disturbances. Recent publications demonstrate increasing focus on heterogeneous multi-robot coordination for emergency response scenarios and human-robot teaming where predictability is paramount. Analysis of Bezzo's 15 most recent publications reveals a strong trend toward adaptive safety frameworks that dynamically adjust to environmental uncertainty. Over 70% of his 2024-2025 work incorporates machine learning components (particularly Gaussian Processes and reinforcement learning) within traditional control architectures, creating hybrid approaches for resilient navigation. The research spans both aerial (UAV) and ground (UGV) platforms with growing emphasis on cross-domain coordination. A distinctive pattern is the development of 'recovery-first' paradigms that prioritize system restoration after failures rather than solely preventing failures. Bezzo directs the Autonomous Mobile Robotics (AMR) Lab and collaborates extensively with UVA's Link Lab, a cross-disciplinary research center focused on cyber-physical systems. His lab develops experimental testbeds for evaluating navigation algorithms in physically realistic environments, including constrained indoor spaces and communication-denied scenarios. Current projects involve robotic triage systems for disaster response and resilient swarm operations for infrastructure inspection, often featuring heterogeneous robot teams combining aerial and ground vehicles.

Andreas Olssonمشاهده پروفایل

استاد

• Social Learning
• Affective Neuroscience
• Fear Conditioning
• +۳ مورد دیگر

Andreas Olsson is Professor of Psychology at Karolinska Institutet's Department of Clinical Neuroscience, where he founded and directs the EmotionLab research group. His work examines neural and computational principles of social and affective learning. Research investigates: Social transmission of threat learning Neural mechanisms of empathy Prosocial decision-making under threat Cross-cultural pandemic responses Moral norm formation Funded by ERC, Swedish Research Council, and Wallenberg Foundations. Recent publications explore brain-to-brain threat mechanisms and national identity's role in health behaviors.

Tobin Sosnickمشاهده پروفایل

استاد

• Protein Folding
• Biophysics
• Molecular Dynamics
• +۵ مورد دیگر

Prof. Tobin Sosnick is a Professor and Chair of the Department of Biochemistry and Molecular Biology at the University of Chicago, affiliated with the Pritzker School of Molecular Engineering and the Institute for Biophysical Dynamics. He holds a PhD in Applied Physics from Harvard University (1989) and a B.A. in Physics from UC San Diego. His research focuses on protein folding mechanisms, biophysical dynamics, and membrane protein behavior, employing advanced techniques like SAXS, HDX-MS, and molecular simulations. He leads the Graduate Program in Biophysical Sciences and has pioneered studies on disordered proteins and allosteric regulation. Notable contributions include elucidating the '70% Rule' for folding transition states and developing optogenetic tools for actin imaging. Recognized as a 2024 AAAS Fellow and contributor to the 2023 Lasker Award-winning AlphaFold project, his work bridges physics, chemistry, and biology. Affiliations: Chair, Department of Biochemistry and Molecular Biology; Senior Fellow, Computation Institute; Founding Member, Institute for Biophysical Dynamics. Collaborations span structural biology, computational biophysics, and cellular engineering. Research Highlights: Protein Folding Dynamics: Transition state topology, cooperativity, and downhill folding. Disordered Proteins: Conformational ensembles, solvent effects, and phase separation. Molecular Tools: Optogenetic systems (e.g., LILAC) and HDX-MS for membrane protein analysis. Grants & Awards: 2024 AAAS Fellow, 2023 Lasker Award contributor, multiple NIH grants for protein dynamics research. His lab has produced over 200 peer-reviewed publications. Labs & Teams: The Sosnick Group integrates experimental and computational approaches, with ongoing projects on riboswitches, stress granule formation, and prestin electromotility mechanisms in hearing.

William Edward Lowryمشاهده پروفایل

استاد

• Stem Cell Biology
• Cancer Biology
• Regenerative Medicine
• +۶ مورد دیگر

William Edward Lowry is a Professor in both the Department of Molecular, Cell and Developmental Biology and the Department of Medicine at the University of California Los Angeles (UCLA), College of Letters and Science. His interdisciplinary research bridges stem cell biology, cancer biology, and regenerative medicine, with a particular focus on hair follicle stem cells and their metabolic regulation. Dr. Lowry's research interests center on stem cell biology, particularly hair follicle stem cells and their roles in regeneration and cancer. His work explores the metabolic regulation of stem cells, the cellular origins of squamous cell carcinoma, and the application of stem cell technologies for regenerative medicine. His research spans from basic mechanisms of stem cell quiescence and activation to translational applications for hair loss and neurological disorders. Analysis of Dr. Lowry's recent publications reveals a strong focus on the intersection of metabolism and stem cell biology, particularly how metabolic pathways regulate hair follicle stem cell function and transformation. His work demonstrates that metabolic processes like pyruvate oxidation play crucial roles in stem cell activation, hair cycling, and cancer development. His research also extends to neurological applications, with significant work on glial progenitors for treating white matter stroke and vascular dementia. Dr. Lowry has secured substantial research funding through multiple NIH grants, including R01 awards for iPS-Glial Restricted Progenitors in White Matter Repair for Stroke (R01NS103788), Metabolic Control of Hair Follicle Stem Cell Homeostasis and Tumorigenesis (R01AR070245), and Identification and characterization of cancer cells of origin in the epidermis (R01AR057409). These grants support his laboratory's work on stem cell metabolism, cancer biology, and regenerative medicine applications. His laboratory focuses on hair follicle stem cell biology and metabolism, with additional work on neural progenitors and glial cells for regenerative applications. Dr. Lowry's team employs advanced techniques including single-cell transcriptomics, metabolic profiling, and in vivo models to investigate stem cell behavior in health and disease.

Steven Strogatzمشاهده پروفایل

استاد

• Nonlinear Dynamics
• Complex Systems
• Applied Mathematics
• +۳ مورد دیگر

Steven Strogatz is the Susan and Barton Winokur Distinguished Professor for the Public Understanding of Science and Mathematics, and a Stephen H. Weiss Presidential Fellow at Cornell University's College of Arts and Sciences, Department of Mathematics. He holds a Ph.D. from Harvard University (1986). His research focuses on nonlinear dynamics, complex systems, and applied mathematics, with notable contributions to synchronization in networks, mathematical biology, and science communication. Strogatz is renowned for his books, including Infinite Powers and The Joy of x , and his media work, such as the New York Times column and Quanta Magazine's The Joy of Why podcast. He has received prestigious awards like the National Award for Science Communication and the George Pólya Prize for Mathematical Exposition. His academic roles include teaching courses on nonlinear dynamics and supervising research. Strogatz's work bridges academia and the public, emphasizing the beauty and relevance of mathematics. His research extends to modeling social networks, epidemic dynamics, and urban mobility systems, with applications in physics, biology, and technology.

Tit-Yee Wongمشاهده پروفایل

استاد

• Bioenergetics
• Microbial Genetics
• Bacterial Physiology
• +۶ مورد دیگر

Dr. Tit-Yee Wong is a Professor in the Department of Biological Sciences at the University of Memphis, where he has served since 1985. He is also affiliated with the Bioinformatics Program. His research focuses on microbial physiology, bioenergetics, and genomic stop signals, with contributions to understanding bacterial radioresistance, nucleoid architecture, and environmental toxicology. He teaches courses in microbiology, microbial ecology, and bacterial physiology. Education: BS (1974) and MS (1975) from Murray State University, KY; PhD (1981) from the University of Houston, TX. Postdoctoral studies at Johns Hopkins University School of Medicine and Biology Department, specializing in biochemistry, cell biology, and microbiology. Research Interests: Bioenergetics of Azotobacter vinelandii and Deinococcus radiodurans; stop codon ratios in bacterial genomes; microbial response to environmental stressors like smog and heavy metals. He pioneered concepts such as the 'Chandelier Hypothesis' explaining nucleoid structure dynamics and proposed the use of genomic stop signals for phylogenetic analysis. Recent Articles Highlight Trends in: (1) Antimicrobial mechanisms of triclosan and silver nanoparticles; (2) Stop codon ratios as genomic fingerprints; (3) Environmental impacts on microbiota and bacterial physiology. His work bridges microbiology, bioinformatics, and environmental science. Labs/Teams: Active in interdisciplinary research at the University of Memphis, integrating bioinformatics with experimental microbiology. Collaborates on projects involving bacterial genomics and toxicology.

Joseph Dippongمشاهده پروفایل

دانشیار

• Social Psychology
• Group Processes
• Status and Power
• +۱ مورد دیگر

Joseph Dippong is an Associate Professor and Director of Graduate Studies in the Department of Sociology at the University of North Carolina at Charlotte. His research specializes in Social Psychology, Group Processes, and Status and Power dynamics. His work investigates how status hierarchies emerge in group interactions, examining vocal accommodation patterns, performance expectations, and biosocial foundations of behavior. Research employs experimental methods to analyze how factors like gender, communication style, and media technology influence status dynamics and decision-making. Analysis of publications demonstrates expertise in experimental sociology, with recent focus on: vocal dynamics as status markers, remote work penalties, evolutionary sociology foundations, and methodological innovations in measuring status. Work frequently bridges social psychology, linguistics, and organizational studies.

Louis Narensمشاهده پروفایل

استاد

• Measurement Theory
• Probability Foundations
• Psychophysics
• +۳ مورد دیگر

Louis Narens is a Professor at the University of California, Irvine (UCI), holding dual affiliations in the Department of Cognitive Sciences and the Department of Logic and the Philosophy of Science. His work bridges mathematical rigor with psychological and philosophical inquiry, focusing on foundational issues in measurement theory, probability, and metacognition. Narens is renowned for his contributions to abstract measurement theory, as seen in his influential books like Abstract Measurement Theory (1985) and Theories of Meaningfulness (2002). His research explores how quantitative frameworks can be applied to subjective phenomena such as perception, belief systems, and cognitive processes. Key areas of investigation include: Foundations of probability and support theory Psychophysical laws and perceptual scaling Metamemory mechanisms and judgment accuracy Philosophical implications of measurement invariance His articles analyze topics like evolutionary color categorization, scientific belief systems, and the theoretical underpinnings of psychological measurement. Narens collaborates across disciplines, engaging with cognitive scientists, philosophers, and mathematicians to advance interdisciplinary understanding. Despite his prolific output, he has not been explicitly noted for receiving major scientific awards in the provided materials.

Andrea Sottorivaمشاهده پروفایل

استاد

• Cancer Evolution
• Computational Biology
• Genomics
• +۴ مورد دیگر

Andrea Sottoriva is the Head of the Computational Biology Research Centre at Human Technopole , Milan, Italy, and holds the title of Professor of Cancer Genomics and Evolution . His work bridges computational biology, evolutionary theory, and clinical oncology to predict cancer progression and design adaptive treatment strategies. University of Bologna – BSc in Computer Science (2006) University of Amsterdam – MSc in Computational Sciences (2008) University of Cambridge – PhD in Computational Biology (2012) Dr. Sottoriva's research focuses on cancer evolution , applying machine learning and population genetics to decode tumor heterogeneity through multi-omics data. His lab integrates patient-derived organoids and spatial genomics to understand how genetic and epigenetic factors drive cancer progression. The 15 most recent publications demonstrate a consistent emphasis on subclonal dynamics (7/15), computational methods (6/15), and evolutionary modeling (5/15). Key themes include adaptive mutability in colorectal cancer , immune editing in post-transplantation relapses, and deep learning applications for tumor heterogeneity. Scientific recognition includes: Cancer Research UK Future Leaders in Cancer Research Prize (2016) His lab currently trains PhD students and postdoctoral researchers in computational oncology, maintaining a living biobank of patient-derived models while pioneering AI-mechanistic hybrid models for clinical translation.

• Computational Epidemiology
• Infectious Disease Modeling
• Public Health
• +۳ مورد دیگر

Dr Sheryl Chang is a Research Associate in the Modelling and Simulation Research Group at the School of Computer Science, University of Sydney. She holds a PhD in computational epidemiology (2021) and specializes in modeling infectious disease transmission and intervention strategies, integrating social and behavioral factors. Her work has been validated in multiple epidemic scenarios and recognized by global health organizations like the WHO and Lancet COVID-19 Commission. Teaching: She instructs courses such as System Dynamics Modelling for Project Management (PMGT5886) and Social Network Analysis Principles (OLET2346) . Her research focuses on pandemic dynamics, pathogen evolution, and the impact of human behavior on disease spread. Awards: Recipient of the prestigious Lord Robert May Prize (2019-2020) for best paper in Journal of Biological Dynamics , and 2023 Dean’s commendation for teaching excellence in the Faculty of Engineering. Research Grants: Lead investigator on the 2022 Sydney Institute for Infectious Diseases grant Modelling the impact of opinion dynamics on the COVID-19 pandemic in Australia . Labs/Teams: Active member of the Modelling and Simulation Research Group, collaborating on agent-based models for public health policy design and genomic epidemiology of pathogens like Salmonella and SARS-CoV-2.

Josie Clowneyمشاهده پروفایل

دانشیار

• Neural Circuits
• Developmental Neuroscience
• Chemosensory Systems
• +۳ مورد دیگر

Josie Clowney is an Associate Professor in the Department of Molecular, Cellular, and Developmental Biology at the University of Michigan, where she has held faculty position since 2017. Her research investigates the genomic algorithms that construct neural circuits during development, using Drosophila as a model to study how chemosensory systems drive both instinctual behaviors and learning. She teaches Bio 172 and an upper-level seminar on cellular diversity and scientific writing, and mentors graduate students through MCDB, CMB, NGP, and BIOINF PhD programs. Her educational background includes: Ph.D. in Biomedical Sciences (2012) from the University of California, San Francisco B.S. in Cellular and Molecular Biology (2005) from the University of Michigan, where she conducted research with Cunming Duan Clowney's research centers on understanding how definitive neuronal parameters are encoded in genomic information and translated into cellular architectures. Her lab hypothesizes that developmental algorithms for learning circuits versus instinctual circuits differ fundamentally in their genomic requirements, with chemosensory circuits serving as key models. Using fruit flies for their tractable brain organization, her work bridges computational principles and biological implementation to uncover universal brain organization rules. Analysis of her 15 most recent publications (2016-2025) reveals consistent focus on Drosophila mushroom body development, neural sexual differentiation, and spatial constraints in circuit formation. Key themes include non-deterministic mechanisms diversifying cell surface expression, chromatin dynamics in circadian regulation, and how input density tunes sensory responses. Her work integrates genomics, neuroanatomy, and behavior to model how compact genomic information generates complex neural architectures. No scientific awards were mentioned in the provided text. Dr. Clowney advises graduate students through multiple PhD programs at the University of Michigan, though specific student names and grant details are not provided in the source material. Her teaching includes foundational undergraduate coursework and advanced seminars emphasizing scientific writing. The active publication record spanning 2016-2025 indicates sustained research funding supporting her lab's investigations into neural circuit development. The Clowney Lab, housed in the Biological Sciences Building (4218 BSB), employs Drosophila genetics and neuroanatomical techniques to dissect developmental algorithms of brain wiring. Current projects explore how spatial constraints structure learning circuits, mechanisms of neural sexual differentiation, and the genomic encoding of circuit diversity. The lab collaborates within Michigan's neuroscience community through the Program in Biology and participates in interdisciplinary initiatives studying brain evolution and function.