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Browse faculty research, publications, teams, and contact details. Unclaimed listings are independently curated from public sources and do not imply endorsement or recruiting availability.
About listings, corrections, and removal ↗541 research-led lab profiles
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Independently curated · UnclaimedRebecca Scheck Research Group
Tufts University
Rebecca Scheck · Professor, Chemistry
How do post-translational modifications communicate cellular information and control signaling networks? The Scheck Research Group develops new chemical biology tools and selective chemistries to decode complex PTM networks. Researchers combine integrated mass spectrometry and chemical biology approaches to track, capture, and predictably modulate specific PTMs such as glycation, ubiquitination, and phosphate B-elimination. Ongoing projects apply these methods to understand PTM integration into signaling in living cells and to identify potential therapeutic targets for neurodegeneration, infection, autoimmune disease, cancer, diabetes, and aging. The lab actively recruits postdoctoral researchers and students for NIH-funded projects on glycation and ubiquitination.
Independently curated · UnclaimedRegina Barzilay Research Group
Massachusetts Institute of Technology
Regina Barzilay · School of Engineering Distinguished Professor for AI and Health
Can machine learning detect cancer risk from routine clinical imaging before symptoms appear to enable earlier intervention? The group develops deep-learning models for personalized mammography-based risk prediction and early cancer detection. Researchers build ML methods for de-novo molecular design and retrosynthesis to change traditional drug-discovery pipelines toward data-driven generation. The team develops generative models such as BoltzGen to create protein binders for biological targets and tools like VaxSeer to predict virus evolution for vaccine strain selection. They also focus on interpretability and robustness for clinical AI to support safer, fairer deployment in healthcare settings.
Reinhardt Lab
University of Colorado Denver/Anschutz Medical Campus
R. Lee Reinhardt · Associate Professor of Immunology and Microbiology
The same immune machinery can protect a lung or contribute to allergic disease. R. Lee Reinhardt studies how T cells and innate lymphoid cells coordinate type-2 inflammation in mucosal tissues. His group investigates parasite immunity, allergic susceptibility, and the development and functions of helper and regulatory T-cell populations, using reporter mouse models to follow immune-cell decisions. Research also explores how microgravity and lunar environments affect pulmonary immunity. He holds appointments at National Jewish Health and the University of Colorado School of Medicine.
Independently curated · UnclaimedRemo Rohs Research Group
University of Southern California
Remo Rohs · Professor of Quantitative and Computational Biology
How do three-dimensional molecular shapes determine where proteins bind DNA? The Rohs Lab develops machine learning and AI methods to model protein–DNA binding specificity using DNA shape features. The group builds and maintains DNAproDB, a database and processing pipeline for automated analysis and visualization of protein–DNA complexes. Researchers apply geometric deep learning and graph neural networks to predict protein–nucleic acid binding from structural and sequence features. The lab integrates computational structural biology, experimental mapping, and predictive modeling to reveal readout mechanisms of protein, RNA, and drug interactions.
Rena Bizios Research Group
The University of Texas at San Antonio
Rena Bizios · Lutcher Brown Endowed Distinguished University Chair Professor
Rena Bizios investigates the interface where living cells meet engineered materials. Her research examines cell–material and protein–material interactions, including responses to nanostructured biomaterials, with applications in implants, tissue engineering, and regeneration. Work also explores how physical stimuli such as pressure and electrical current influence cell functions relevant to new tissue formation. The program connects biomaterial design with cellular behavior, asking which features make a material compatible with biological systems and how engineered environments might support the repair or formation of functional tissue.
Renato “Sam” Navarro Research Group
University of Florida
Renato “Sam” Navarro · Assistant Professor
How can polymer networks be designed to tune hydrogel mechanics and control therapeutic release for tissue repair? Navarro's group synthesizes tailored polymers using controlled polymer synthesis and crosslinking chemistries to create hydrogels with programmable degradation and stiffness. They evaluate drug delivery by loading therapeutics into hydrogel matrices and measuring release kinetics under physiological conditions. The research develops bioprinting processes that deposit cell-laden or acellular bioinks to fabricate tissue-like constructs for regenerative testing. Materials characterization and in vitro assays probe cell–material interactions and mechanical properties to guide scaffold design for engineering applications.
Renato Mancuso Research Group
Boston University
Renato Mancuso · Associate Professor
How can embedded systems guarantee predictable timing for safety-critical control in hybrid CPU+FPGA platforms? The Cyber-Physical Systems Lab develops software/hardware techniques for fine-grained performance profiling and management to achieve controllable timeliness in accelerator-enabled embedded systems. Researchers design real-time virtualization and hypervisor technologies to provide spatio-temporal isolation and workload-aware tuning for high-performance cyber-physical applications. The group builds workload profiling tools to capture interactions between applications, processors, and memory resources for informed resource management. Projects explore neural-network-driven flight control and deployable NN-based controllers with emphasis on safety assessment and system deployability.
Independently curated · UnclaimedReto Gieré Research Group
University of PennsylvaniaReto Gieré · Professor
How do minerals and urban particulates influence environmental health and human exposure? The Gieré lab investigates environmental geochemistry, mineralogy, and the health impacts of atmospheric pollution. Researchers characterize microplastics, road dust, and particulate matter using techniques such as XRD, ICP-OES, and SEM to determine composition and potential exposure pathways. The group applies geochemical modeling and microscopy to study contaminants in soils and urban media to inform remediation and exposure assessment. The lab participates in Penn centers focused on environmental toxicology to connect geochemical findings with public health questions.
Independently curated · UnclaimedRicardo Gutierrez-Osuna Research Group
Texas A&M University
Ricardo Gutierrez-Osuna · Professor, Computer Science & Engineering
How can wearable sensors and speech signals be combined to monitor health noninvasively in everyday settings? The PSI Lab develops multimodal physiological datasets and models for non-invasive blood glucose estimation using physiological sensors and machine learning. The group builds low-latency speech-processing and anonymization models that disentangle segmental and prosodic factors with signal-processing and end-to-end neural approaches. Researchers apply chemometrics and signal analysis to extract biomarkers from wearable and physiological data for digital health applications. The lab leverages machine learning, speech processing and wearable sensors to detect and predict physiological states relevant to health.
Independently curated · UnclaimedRicardo L. Pastori Research Group
University of Miami
Ricardo L. Pastori · Research Professor in the Department of Medicine
How can non‑genetic protein delivery techniques protect and regenerate human islet beta cells for diabetes therapies? The Pastori Lab developed protein transduction applications using small cell‑penetrating peptides to deliver proteins into islet cells to protect against isolation and transplantation stress. The group investigated miRNA regulation in beta cells during murine and human pancreatic embryonic development to understand molecular control of beta‑cell identity. The lab collaborates on induction and lineage tracing of BMP‑responsive human pancreatic ductal progenitor cells to identify regenerative sources. The team applies single‑cell RNAseq and transplantation of sorted populations to characterize progenitors and test regenerative potential.
Richard Axel Research Group
Columbia University
Richard Axel · University Professor
How does the olfactory system translate odor molecule detection into a stable neural representation of odor quality? The lab maps odorant receptor gene expression patterns and combines them with electrophysiology to define the logic of olfactory discrimination. Researchers show individual olfactory sensory neurons express only one receptor gene and project their axons to defined glomeruli, producing spatial patterns of activity in the olfactory bulb. The group uses molecular genetics and gene transfer methods to isolate and analyze receptor genes and signaling cascades to study receptor function in sensory circuits. Current work centers on how odor recognition is translated into an internal representation of sensory quality that guides behavior.
Richard Bertram Research Group
Florida State UniversityRichard Bertram · Tam Family Professor of Mathematics
Hormone secretion and neural signaling often depend on rhythms rather than steady activity. Bertram uses mathematical models, analysis, and computer simulations to investigate those rhythms. His research examines oscillation and synchronization in endocrine cells, including pancreatic and pituitary systems, alongside the neural basis of taste and smell. Techniques include nonlinear dynamics, analysis of processes operating on different timescales, and network science. Collaboration with experimental researchers connects mathematical explanations to biological observations. His neuroscience faculty page states that he is not accepting graduate students.
Richard C. Willson Research Group
University of Houston
Richard C. Willson · Huffington-Woestemeyer Professor
Could a sensitive molecular test work with a smartphone and very little laboratory equipment? Richard Willson’s group applies molecular recognition to diagnostics, biological separations, and analytical tools for monitoring processes. Its published projects include smartphone-readable lateral flow tests, persistent luminescent reporters, and glow-based immunoassays designed to reduce equipment demands. The work brings chemical engineering together with biochemistry, microbiology, materials, and computation. A central challenge is translating the ability of molecules to recognize one another into measurements that are sensitive, practical, and easier to use.
Independently curated · UnclaimedRichard P. Phillips Research Group
Indiana UniversityRichard P. Phillips · Professor
How do trees and soil microbial communities interact to control nutrient and carbon cycling across forests and changing environments? The lab studies forest carbon and nutrient cycling, focusing on mechanisms regulating plant and ecosystem gas exchange and belowground microbial controls on soil biogeochemistry. Researchers combine field measurements, soil and plant tissue analyses, and ecosystem-scale experiments to test how microbes and mycorrhizae influence tree physiology and ecosystem carbon dynamics. Projects investigate how belowground traits and microbial communities mediate responses to drought and shifts in forest composition. The group supports trainee-driven projects coupling fieldwork with biogeochemical and ecological modeling to understand ecosystem responses to environmental change.
Independently curated · UnclaimedRob Jackson Research Group
Stanford University
Rob Jackson · Professor, Earth System Science
How do human activities alter greenhouse gas fluxes and the carbon cycle across ecosystems and regions? The research establishes global monitoring networks (including methane tower measurements at many sites) and develops mobility and climate models to quantify emissions. The group measures methane, carbon dioxide, and other greenhouse gases from landscapes, oil and gas infrastructure, and urban sources and combines field measurement, atmospheric inversions, and machine-learning to resolve source-sink dynamics. Researchers integrate observations into global carbon budgets and policy-relevant analyses of emissions and mitigation.
Robert Chang Research Group
Stevens Institute of Technology
Robert Chang · Associate Professor
Chang connects mechanical design with the fabrication of tissue-based systems. His research includes additive biomanufacturing, biofabrication, computer-aided tissue engineering, and microscale models of normal physiology and disease. Listed work examines bioprinting of hydrogel precursors, including cell distribution and shape fidelity, and the development of a modular low-cost multi-extrusion bioprinter. Mechanobiology provides another link between fabrication and cell behavior. For prospective researchers, the group offers a setting where printing hardware, material processing, and biological requirements must be solved together to construct useful experimental tissues.
Independently curated · UnclaimedRobert D. Gregg IV Research Group
University of Michigan-Ann Arbor
Robert D. Gregg IV · Professor
Can wearable robotic devices move with users across variable tasks and environments without preset activity classification? The laboratory develops phase-based control for prosthetic legs that continuously follows a user's thigh motion across speeds, slopes, and stairs. Researchers create task-agnostic exoskeleton controllers that change the physics the wearer feels so assistance follows voluntary movement without activity classification. The group designs high-torque, low-impedance actuators that remain backdrivable while producing necessary joint torque for wearable devices. Measured laboratory outcomes include lower quadriceps effort and reduced compensatory hip moments in participant studies.
Independently curated · UnclaimedRobert Pilawa‑Podgurski Research Group
University of California, Berkeley
Robert Pilawa‑Podgurski · Professor, Division of Electrical Engineering (EECS)
How can high-density, high-efficiency power converters enable renewable energy and electrified transport applications while remaining experimentally demonstrable? The group designs and prototypes power electronics systems for photovoltaics, grid storage, electric vehicles, and data center power delivery. Researchers combine hardware prototype demonstrations with system-level integration to validate converter topology, thermal and efficiency tradeoffs, and control strategies. Projects include energy-harvesting and electric aircraft power systems using experimental demonstrations to prove feasibility. Work emphasizes experimental validation through building hardware to address technical challenges in energy conversion and integration.
Independently curated · UnclaimedRobert Trapp Research Group
University of Illinois at Urbana-Champaign
Robert Trapp · Professor of Atmospheric Sciences
How will severe convective storms and their hazards respond to climate variability and change? Trapp conducts research on severe convective storms, including their dynamics and attendant hazards, and their connection with climate change and variability. Current projects include seasonal prediction of tornado activity and convection-permitting dynamical downscaling to project hazardous convective weather under future climates. Researchers combine dynamical modeling, convection-permitting downscaling, and environment-informed ensembles to examine storm-scale responses to changing kinematic and thermodynamic environments. Studies also analyze radar and in-situ observations of mesoscale convective systems to link observed storm dynamics with modeled environmental changes.
Independently curated · UnclaimedRobert X. Gao Research Group
Case Western Reserve UniversityRobert X. Gao · Cady Staley Professor of Engineering
How can multi-physics sensing and stochastic modeling improve observability and control of complex manufacturing processes? The group develops multi-physics sensing technologies and miniaturized sensors to measure in-situ process variables such as pressure, temperature, and other signals. Researchers design physics-informed AI and machine learning methods, including physics-guided Gaussian processes and probabilistic recurrent neural networks, to predict system performance and remaining useful life. The lab integrates analytical, numerical, and experimental methods to create high-speed measurement instruments and AI-driven data analytics for process monitoring. Current projects target AI-enhanced control and autonomy in hybrid autonomous manufacturing processes and digital-twin-driven virtual commissioning.
Independently curated · UnclaimedRoger Wiens Research Group
Purdue University West Lafayette
Roger Wiens · Professor
How can remote laser- and spectroscopic instruments reveal elemental and molecular composition of planetary surfaces from a rover? The group develops remote-sensing spectroscopic instruments including LIBS, Raman, and fluorescence for planetary surface investigations. The team led and delivered ChemCam to provide LIBS-based elemental compositions at meter-range on Mars and operates SuperCam combining LIBS, Raman, VIS-IR spectroscopies, imaging, and acoustics on Perseverance. Researchers integrate instrument design, field testing, and mission operations to enable in situ compositional analyses of rocks and soils. Instrument data are used to constrain cosmochemistry and surface processes on Mars and other bodies.
Independently curated · UnclaimedRohan Shirwaiker Research Group
North Carolina State University
Rohan Shirwaiker · James T. Ryan Distinguished Professor
How can manufacturing methods produce biological materials with the structure and functional properties needed for medicine and sustainable food? The group combines computational modeling, experiments and data analysis to design processes for making products with biomimetic attributes. Its tissue-manufacturing research develops ultrasound-assisted bioprinting and three-dimensional melt and solution blowing for engineered medical products. Researchers also investigate non-destructive quality measurements using dielectric and ultrasound spectroscopy to assess these biological products. The work connects manufacturing settings, biomaterials and functional quality, while the broader research program includes sustainable protein applications.
Rohani Lab
University of Georgia (USA)
Pejman Rohani · Regents' Professor, UGA Athletic Association Professor in Ecology and Infectious Diseases
Why does an infectious disease spread rapidly in one setting and fade in another? Pejman Rohani studies the ecology and evolution of infections using mathematical and computational models of transmission. His research interests include pertussis, dengue, polio, measles, Ebola, and avian influenza viruses. The group connects population biology with quantitative epidemiology, examining disease dynamics rather than treating infections as isolated events. This offers a research match for people interested in modeling epidemics, spatial disease ecology, and the processes that shape pathogen spread.
Independently curated · UnclaimedRunlong Yu Research Group
The University of Alabama
Runlong Yu · Assistant Professor
Runlong Yu's faculty-led research profile covers Artificial Intelligence, Data Analytics, Generative AI & LLMs, and Geospatial Analysis.
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