Thomas Courtade is an Associate Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He joined Berkeley in 2014 after a postdoctoral fellowship at Stanford University, supported by the NSF Center for Science of Information. His research focuses on information theory, data science, and their intersections with machine learning and privacy-preserving algorithms. Education: Ph.D. in Electrical Engineering, University of California, Los Angeles (2012) M.Sc. in Electrical Engineering, University of California, Los Angeles (2008) B.Sc. in Electrical Engineering, Michigan Technological University (2007, summa cum laude) Research Interests: Information Theory and its applications to network communication Privacy-preserving data analysis and differential privacy Statistical estimation under heterogeneous privacy constraints Optimization in distributed systems and market design Functional inequalities (Brascamp-Lieb, Poincaré-Korn) Machine learning with emphasis on model robustness and efficiency Awards and Fellowships: Electrical Engineering Award for Outstanding Teaching (2020) Hellman Fellow (2016) Advising and Grants: Supervised no listed students (student names not provided in text) Recipient of NSF CAREER Award (2018) Labs and Collaborations: Berkeley Laboratory for Information and System Sciences (BLISS) Center for Theoretical Foundations of Learning, Inference, and Mathematics (CLIMB)
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Robert Full is a Full Professor of Integrative Biology at the University of California, Berkeley. He leads the Poly-P.E.D.A.L. Laboratory, focusing on the biomechanics and energetics of animal locomotion. His work integrates principles from biology, robotics, and engineering to study movement in diverse organisms and inspire innovative designs. Full earned his undergraduate, master's, and doctoral degrees from SUNY Buffalo, followed by postdoctoral research at the University of Chicago and Harvard University. He has held prestigious roles including Chancellor's Professor and director of a biological visualization center. His awards include the NSF Presidential Young Investigator Award (1990) and AAAS Fellowship (2011). Research interests span bioinspired robotics, neuromechanical systems, and ecological biomechanics. Notable contributions include elucidating principles of locomotion in squirrels, geckos, and insects, and applying these insights to robot design. His lab explores how animal movement strategies inform engineering solutions for complex environments. Awards highlight his contributions to teaching and research: UC Berkeley Distinguished Teaching Award (1996), Goldman Professorship, and American Academy of Arts and Sciences membership (2016). His work bridges disciplinary boundaries, emphasizing interdisciplinary education and community engagement through programs like 'Eyes toward Tomorrow.' Full's research has been featured in major media, including CNN, NBC, and Discovery Channel. He maintains an active lab at Berkeley's Valley Life Sciences Building, with office hours Tuesdays and Thursdays.
Professor Dorian Liepmann holds dual appointments in the departments of Bioengineering and Mechanical Engineering at the University of California, Berkeley. His research focuses on BioMEMS, microfluidics, and biomedical sensor technologies. He leads the Liepmann Lab (https://liepmannlab.squarespace.com/), which develops innovative solutions for healthcare diagnostics, drug delivery, and environmental monitoring. His work integrates engineering principles with biological systems, emphasizing applications in cardiovascular fluid dynamics and nanomaterials for energy storage. Key research areas include microfluidic device design, biosensor development (e.g., graphene-based sensors for glucose monitoring), and vaccine engineering. Recent projects involve computational multiepitope vaccine design targeting SARS-CoV-2 variants and microfluidic systems for water quality analysis. His lab also explores advanced materials like graphene oxide for next-generation batteries. Publications highlight contributions to microneedle technology, flow dynamics in biological systems, and smart drug delivery mechanisms. Liepmann's work bridges academic research with practical applications, addressing challenges in public health, environmental safety, and biomedical innovation.
- BioMEMS
- Microfluidics
- Biomaterials
- +۵ مورد دیگر
Jiyoon Yiمشاهده پروفایل
استادیار
Dr. Jiyoon Yi is an Assistant Professor in the Department of Biosystems and Agricultural Engineering (BAE) at Michigan State University's College of Engineering. Her research focuses on AI-driven solutions for sustainable food systems, integrating biosystems engineering with data science to address microbiological challenges. She holds a Ph.D. in Food Science from UC Davis (2021), and dual B.S. degrees in Mathematics and Food Science & Engineering from Ewha Womans University (2014). Key research areas: Rapid pathogen detection via hyperspectral microscopy AI analysis of soil microbiome interactions Generative AI modeling of microbial stress responses Teaching: HEAT 401: Heat and Mass Transfer in Biosystems (undergraduate) BAE 890: Machine Learning for Biosystems Engineering (graduate) Her lab employs both wet-lab and dry-lab approaches, with recent work emphasizing domain adaptation in imaging, attention-based AI for microbiome analysis, and computational simulations of microbial behavior. Current studies include developing antimicrobial coatings for food contact surfaces and optimizing sanitizer distribution in agricultural processing systems. Notable Contributions: Pioneering AI-enabled frameworks for real-time pathogen detection, including label-free cell analysis and adversarial domain adaptation across imaging modalities. Her work bridges gaps between computational methods and practical food safety applications, with applications in both food/health and agriculture domains.
Eric Klavins is the Professor and Chair of the Electrical & Computer Engineering Department at the University of Washington in Seattle. He holds adjunct appointments in Computer Science and Engineering and in Bioengineering. Dr. Klavins received a B.M. in Music in 1992 and a B.S. in computer science in 1996 from San Francisco State University. He received M.S. and Ph.D. degrees in computer science and engineering in 1999 and 2001 from the University of Michigan, Ann Arbor. From 2001 to 2003 he was a postdoctoral scholar in the Control and Dynamical Systems Department at the California Institute of Technology where he worked with Richard Murray. In 2003 Eric was hired in Electrical Engineering at the University of Washington in Seattle; he received tenure in 2009. Dr. Klavins' research spans Synthetic Biology, Molecular Programming, Biosystems, and Robotics and Controls . Until approximately 2008, his research was primarily in computer science and control systems, focusing on stochastic processes, robotics and self-assembly. At about this time, he learned the basics of genetic engineering. In the next few years he switched fields to synthetic biology and now runs an interdisciplinary group of engineers, biologists, experimentalists, and theorists — all focused on engineering life. His current projects include synthetic multicellular systems with engineered bacteria and yeast, modeling and design for synthetic multicellular systems, and laboratory automation. Analysis of Dr. Klavins' recent publications reveals a strong focus on synthetic biology applications, particularly in yeast and bacterial systems. His work bridges computer science, engineering, and biology, with significant contributions to laboratory automation software (like the Aquarium platform), genetic circuit design, and protein engineering. The publications show a clear trend toward increasingly complex biological systems and the development of computational tools to design and analyze these systems. Dr. Klavins has advised numerous graduate students and postdocs whose work has led to significant contributions in synthetic biology. Many of his former students have gone on to successful careers in academia and industry, including positions at Google, Ginkgo Bioworks, and as founders of biotechnology startups. Dr. Klavins leads the Klavins Lab, which focuses on synthetic biology research. The lab brings together engineers, biologists, experimentalists, and theorists to engineer life through synthetic multicellular systems with engineered bacteria and yeast.
- Synthetic Biology
- Molecular Programming
- Biosystems
- +۵ مورد دیگر
Richard M. Karp is a Professor at the University of California, Berkeley, holding the Class of 1939 Chair in the Department of Electrical Engineering and Computer Sciences within the College of Engineering. He has been affiliated with UC Berkeley from 1968-1994 and again from 1999 to present, and has also served as a Research Scientist at the International Computer Science Institute in Berkeley since 1988. His career spans over five decades, beginning with his time at IBM Research from 1959-1968. His educational background includes a Ph.D. in Applied Mathematics from Harvard University (1959), an S.M. in Applied Mathematics (1956), and an A.B. in Mathematics (1955), all from Harvard. Karp's research spans multiple domains with a focus on algorithmic methods in genomics and computer networking . His work integrates theoretical computer science with practical applications in biological systems. He has made significant contributions across three primary research areas: Biosystems & Computational Biology (BIO), Operating Systems & Networking (OSNT), and Theory (THY). His interdisciplinary approach connects computational theory with real-world problems in molecular biology, network design, and combinatorial optimization. His early work in theoretical computer science laid foundations for complexity theory, while his later work has focused increasingly on computational biology applications. His research has been supported through affiliations with the Center for Computational Biology (CCB), Industrial Engineering and Operations Research (IEOR), and the Simons Institute for the Theory of Computing (SITC). Among his numerous honors are the Turing Award, National Medal of Science, Kyoto Prize, Von Neumann Theory Prize, and membership in multiple prestigious academies including the U.S. National Academies of Sciences and Engineering, the American Philosophical Society, and the French Academy of Sciences. Karp has supervised thirty-six Ph.D. students throughout his career, contributing significantly to the development of new generations of computer scientists. His work has been supported by numerous research grants across theoretical computer science, computational biology, and network theory. He has been instrumental in establishing interdisciplinary research programs that bridge computer science with biological sciences. He has been actively involved with the International Computer Science Institute in Berkeley since 1988, contributing to research teams focused on theoretical computer science and its applications to biological problems. His work has often involved collaborative teams spanning multiple disciplines, particularly in the field of computational biology where computer scientists work alongside biologists and medical researchers.
- Computational Biology
- Algorithms
- Genomics
- +۳ مورد دیگر
Evangelos Kiskinis, PhD, is an Associate Professor of Neurology and Neuroscience at Northwestern University Feinberg School of Medicine. His research focuses on leveraging induced pluripotent stem cells (iPSCs) to model ALS and pediatric epilepsy, with a strong emphasis on identifying convergent molecular pathways and developing targeted therapies. Education: PhD from Imperial College London (2008); Postdoctoral training at Harvard Stem Cell Institute (2014). His lab is pioneering the use of iPSCs and direct reprogramming to generate CNS neuronal subtypes (motor neurons, astrocytes, cortical neurons) and investigate disease mechanisms via genomic, biochemical, and electrophysiological assays. Recent work highlights dysregulation of microtubules, nuclear import, and RNA metabolism in ALS, with therapeutic strategies including RNA bait and anti-cancer drugs. His publications span high-impact journals like Science Advances , Neuron , and Cell Stem Cell , focusing on ALS/FTD, epilepsy, and stem cell technologies. Notable scientific awards include the NYSCF-Robertson Investigator Award, Falk Catalyst Award, and multiple NIH grants (R01, R21). He serves as Scientific Director of the Live Like Lou Foundation and on advisory boards for Axion Biosystems and Synapticure. His lab comprises 12 members, including postdocs, graduate students, and technicians.
Dr. Huimin Zhao is the Steven L. Miller Chair Professor in the Department of Chemical and Biomolecular Engineering at the University of Illinois at Urbana-Champaign, with affiliate appointments in Chemistry, Biochemistry, and Bioengineering. He directs multiple NSF-funded institutes, including the AI Institute for Molecule Synthesis and the Global Center for Reliable and Scalable Biofoundries, and serves as Editor-in-Chief of ACS Synthetic Biology . A Nobel Prize-associated researcher, he earned his Ph.D. at Caltech under Dr. Frances Arnold and held a project leadership role at Dow Chemical before joining UIUC in 2000. B.S., Biology, University of Science and Technology of China (1992) Ph.D., Chemistry, California Institute of Technology (1998) Dr. Zhao pioneers synthetic biology, machine learning, and automation to engineer proteins, pathways, and genomes for biotechnology and medicine. His research spans foundational tool development (StEP recombination, DNA Assembler, CRISPR/Cas9 methods), industrial biotechnology breakthroughs (cellulosic ethanol, organic acid production in Issatchenkia orientalis ), and mammalian synthetic biology innovations (TALEN-based gene therapy systems). His iBioFAB platform integrates robotics with computational design for scalable bioengineering. Recent publications emphasize hybrid catalytic systems combining photocatalysis with enzymatic reactions, AI-driven biosystems design, and genome-scale engineering in non-model organisms. His work reduces industrial processing costs and environmental impacts through acid-tolerant yeast strains for sustainable chemical production, with techno-economic analyses showing potential 90% carbon emission reductions. NSF CAREER Award Guggenheim Fellowship ACS Marvin Johnson Award AIChE Daniel I.C. Wang Award SIMB Charles Scott Award Emeritus Editor-in-Chief, ACS Synthetic Biology Dr. Zhao has mentored 38 former graduate students and postdocs who became professors or principal investigators globally. His lab collaborates across disciplines, with recent projects integrating plant biotechnology ( Sorghum , Miscanthus ), microbial engineering ( Saccharomyces , Yarrowia ), and computational biology. Current initiatives focus on CRISPR-COPIES for genome editing, AI-enhanced protein engineering, and sustainable biorefinery systems for biofuels and biochemicals.
Jeremiah Davis is a Professor and Director of the National Poultry Technology Center at Auburn University , specializing in Biosystems Engineering . His work focuses on poultry and livestock housing and equipment, with statewide responsibilities in Alabama. Contact details include Office: (334) 734-2644 and Email: jdavis@auburn.edu . Research Interests : Poultry housing optimization, environmental control systems, sustainable livestock practices, and biomechanical engineering for agricultural settings. Scientific Trends : His recent publications emphasize improving lighting and ventilation in broiler houses, analyzing feed and water efficiency, and addressing environmental challenges in poultry production through innovative technologies. Infrastructure Leadership : As Director of the National Poultry Technology Center, he oversees advancements in poultry industry infrastructure and equipment.
Niroj Aryal serves as Interim Associate Dean for Research and Professor/Chair in the Department of Natural Resources and Environmental Design at North Carolina Agricultural and Technical State University. His academic leadership spans research administration and educational innovation within environmental engineering disciplines. Dr. Aryal holds a Ph.D. in Biosystems and Environmental Engineering from Michigan State University (2015), an M.S. in Biosystems Engineering from Michigan State University (2010), a Postgraduate Diploma in Environmental Education from Kathmandu University, and a B.S. in Agricultural Engineering from Tribhuvan University. His educational background bridges agricultural systems with advanced environmental engineering principles. His research integrates biosystems engineering with data science applications, focusing on sustainable water management, phytoremediation techniques, and STEM education frameworks. Key interests include constructed wetlands for agricultural runoff treatment, wastewater processing using plant-based systems, and modular data science curriculum development for undergraduate engineering programs. This interdisciplinary approach addresses UN Sustainable Development Goals related to clean water and quality education. Recent publications demonstrate a dual focus on environmental engineering solutions and educational methodology. His 2022-2023 work examines glyphosate removal through hybrid wetlands, plant-based wastewater treatment processes, and data science integration in STEM education. These studies reflect growing emphasis on combining traditional environmental engineering with computational approaches. Dr. Aryal actively contributes to academic service through 40 documented professional activities including Topic Editor roles, journal article reviews, grant proposal evaluations, and leadership positions in professional organizations. His teaching portfolio encompasses 10 courses including Ecological Engineering, General Hydrology, Geographic Information Systems, and Heat Transfer.