Find Academic Supervisors

• Biomedical Data Privacy
• Genomics
• Machine Learning
• +3 more

Hyunghoon Cho is an Assistant Professor at Yale School of Medicine in the Department of Biomedical Informatics & Data Science, with a secondary appointment in the Department of Computer Science. He received his PhD in Electrical Engineering and Computer Science from MIT (2019) and MS/BS in Computer Science from Stanford University (2013). His research focuses on computational challenges in biomedical data privacy, single-cell genomics, and network biology. Assistant Professor (Primary): Biomedical Informatics & Data Science Assistant Professor (Secondary): Computer Science Appointments: Yale School of Medicine | Broad Institute (Schmidt Fellow) Research Themes: Privacy-Enhancing Technologies for genomic and health data Scalable AI/ML tools for omics data analysis Structured biological modeling for system-level discovery His work includes secure GWAS, transcriptomic privacy assessment, and sfkit - a federated genomic analysis toolkit. He received the NIH Director's Early Independence Award and leads NSF-funded projects on confidential genome analytics. Awards: NIH Director's Early Independence Award Lab Members: Haris Smajlović (Postdoc), Vincent Angelo (CBB MS), Denis Loginov (Senior Software Engineer), Lucy Zheng (CBB PhD)

• Cybersecurity
• Software Security
• System Security
• +6 more

Ruoyu (Fish) Wang is an Associate Professor at the School of Computing and Augmented Intelligence, Arizona State University (Tempe campus). He also holds affiliations as Associate Director of Impact at the Global Security Initiative, Center for Cybersecurity & Trusted Foundations, and with the Biodesign Center for Biocomputing, Security and Society. His educational background includes: Ph.D. in Computer Science, University of California, Santa Barbara Professor Wang's research focuses on system security, with an emphasis on automated binary program analysis and reverse engineering of software. He is the co-founder and core developer of the angr binary analysis platform, which won third place in the DARPA Cyber Grand Challenge (2018). His work spans vulnerability discovery, fuzzing, and security tool development for binary program analysis. His current research interests include: Binary program analysis and reverse engineering Automated vulnerability discovery and mitigation Fuzzing techniques and robust testing Phishing and fraud detection in e-commerce Security of firmware and embedded systems Application of machine learning to security problems His recent publications (2024-2025) demonstrate cutting-edge research in fraud detection for e-commerce using LLMs, advanced fuzzing methodologies, and binary decompilation techniques. Key trends include bridging theoretical program analysis with practical security tools, as evidenced by extensions to the angr platform, and addressing emerging threats in financial ecosystems and client-side security. Dr. Wang has received notable recognition: Third place in DARPA Cyber Grand Challenge (2018) with team Shellphish As an active educator, he supervises graduate research (CSE 599/799) and teaches core cybersecurity courses including Software Security (CSE 545) and Information Assurance (CSE 365). His teaching spans multiple semesters through 2025, covering practicums, internships, and special topics in computing security. Dr. Wang co-founded the angr binary analysis platform and contributes to Arizona State University's security research ecosystem through leadership roles in the Center for Cybersecurity & Trusted Foundations and Biodesign Center for Biocomputing, Security and Society.

Ting HuView profile

Associate Professor

• Artificial Intelligence
• Bioinformatics
• Data Mining
• +7 more

Dr. Ting Hu is an Associate Professor in the School of Computing at Queen's University, affiliated with the Faculty of Arts and Science. She leads the Machine Intelligence & Biocomputing (MIB) Laboratory, focusing on bio-inspired AI and bioinformatics. Her research bridges evolutionary computing, machine learning, and biomedical data analysis. Dr. Hu holds a PhD in Computer Science from Memorial University and completed postdoctoral training at Dartmouth College. She teaches courses with strong student evaluations, winning the Howard Staveley Teaching Award (2019-2020) and recognition as a Mental Health Champion (2023). Education: B.Sc. in Computational Mathematics, Wuhan University M.Sc. in Computer Science, Wuhan University PhD in Computer Science, Memorial University Postdoctoral Fellowship, Geisel School of Medicine, Dartmouth College Research Interests: Evolutionary algorithms and genetic programming Interpretable and explainable AI Biomedical data mining (metabolomics, genomics) Complex network analysis Applications in precision medicine and disease prediction Awards & Recognition: Queen's AMS Undergraduate Mentorship Award (2025) IEEE CIBCB Best Student Award (2022) Howard Staveley Teaching Award (2019-2020) NSERC Discovery Grant Reviewer (2019) Memorial University's Best Professor Award (2016) Lab & Collaborations: MIB Lab develops tools like geneDRAGNN (graph neural networks for gene-disease prioritization) Active roles in IEEE Computational Intelligence Society and EuroGP Advances include vaccination strategies via graph-RL and interpretable clustering methods

• Distributed Algorithms
• Programmable Matter
• Bio-inspired Algorithms
• +5 more

Andrea W. Richa is a President's Professor at Arizona State University (ASU), holding positions in the School of Computing and Augmented Intelligence (SCAI), Barrett Honors College, and multiple research centers including the Biodesign Institute's Center for Biocomputing, Security, and Society. She specializes in distributed algorithms, programmable matter, and bio-inspired computing. Richa has led major research initiatives, including a DoD MURI award and an NSF CAREER Award, and has delivered keynote speeches at top conferences like DISC and LATIN. Her work focuses on self-organizing particle systems, wireless networks, and algorithmic foundations of active matter. Educations: PhD (Computer Science, Carnegie Mellon University, 1998), M.S. (Computer Science, Carnegie Mellon University, 1995), B.S. (Computer Science, Federal University of Rio de Janeiro, Brazil, 1989). Research Interests: Distributed algorithms, programmable matter, bio-inspired systems, wireless communication models, graph algorithms, combinatorial optimization, and resource allocation. She leads the Self-Organizing Particle Systems Lab and is part of SCAI's Theory and Algorithms group. Awards: 2024 ASU Mentorship Award, 2021 Mentor of the Year, 2017 SCAI Research Excellence Award, NSF CAREER Award (1999), and multiple grants including DoD MURI. Her research spans theoretical and applied domains, with over 150 publications in top venues. Grants: Current DoD MURI funding (2019-25), NSF awards on Markov chain algorithms and active matter (2021-25), and prior funding on programmable matter (2014-2017). Labs/Teams: SOPS Lab (sops.engineering.asu.edu), contributing to interdisciplinary research in algorithmic matter and bio-inspired systems.

Jedidiah CrandallView profile

Associate Professor

• Internet Security
• Censorship Resistance
• Network Security
• +3 more

Jedidiah Crandall is an Associate Professor at Arizona State University's School of Computing and Augmented Intelligence, with an affiliation to the Biodesign Center for Biocomputing, Security and Society. His research focuses on Internet censorship, network security, and privacy-preserving technologies. Crandall collaborates with journalists and activists to expose surveillance mechanisms, particularly in politically sensitive regions like Russia and China. His work includes analyzing VPN vulnerabilities , decentralized censorship systems , and cross-border data flows . He teaches advanced courses in computer network security and advises graduate students on thesis/dissertation research. Research trends in his publications emphasize measuring state-level information control , attack vectors in modern networks , and secure communication technologies . Notable work includes TSPU: Russia's censorship infrastructure and Hidden Links: Analyzing Secret Families of VPN Apps . Crandall's teaching spans courses like Advanced Computer Network Security and Applied Cryptography , reflecting his commitment to preparing the next generation of security professionals. His Censored Planet project tracks global Internet censorship patterns through large-scale measurements.

XiuJun LiView profile

Professor

• Microfluidics
• Nanotechnology
• Lab-on-a-Chip
• +9 more

Dr. XiuJun Li is a Professor in the Department of Chemistry and Biochemistry at The University of Texas at El Paso (UTEP) within the College of Science. He leads the Li Microfluidic Lab-on-a-Chip & Nanotechnology Group, focusing on the development of cutting-edge, low-cost diagnostic technologies for applications in bioanalysis, biomedical engineering, forensic science, and environmental science. His work is highly interdisciplinary, bridging chemistry, engineering, and biology. Dr. Li's primary research interests lie in microfluidics, nanotechnology, lab-on-a-chip systems, and point-of-care diagnostics. His lab specializes in creating paper and polymer hybrid microfluidic devices for the ultrasensitive detection of cancer biomarkers, infectious diseases (such as SARS-CoV-2 and pertussis), and environmental toxins. A significant focus is on making these devices instrument-free and affordable, particularly for use in resource-limited settings and rural areas. His recent work on a $3 paper-based cancer detector has garnered significant media attention, including features in the New York Post and local TV stations. The trend in Dr. Li's recent publications reveals a strong emphasis on developing portable, visual, and quantitative diagnostic platforms. His research frequently involves the integration of nanomaterials for signal amplification, the use of microfluidic chips for controlled reactions, and innovative readout methods like bar-chart displays and smartphone-based detection, all aimed at creating practical tools for real-world healthcare challenges. Dr. Li has received substantial recognition for his contributions to science, including being named one of the World's Top 2% of Cited Researchers by Elsevier and a Top Scholar by ScholarGPS. He is an Editorial Board Member for Microsystems & Nanoengineering (Nature Publishing Group) and has been awarded a Travel Grant from GEM on the Road’s PFI Programming. He holds patents for his inventions in biosensing and photothermal detection. Dr. Li is a dedicated mentor and educator. He has advised numerous PhD and Master's students, many of whom have gone on to prestigious postdoctoral positions at institutions like Harvard, UPenn, and MD Anderson. He is also the Director of the Forensic Science program at UTEP, where he organizes outreach events to engage students. His lab is actively involved in research, with multiple postdoctoral fellows and graduate students currently working on projects related to cancer detection and infectious disease study.

Joshua T. VogelsteinView profile

Associate Professor

• Machine Learning
• Neuroscience
• Network Science
• +4 more

Dr. Joshua T. Vogelstein is an Associate Professor in the Department of Biomedical Engineering at Johns Hopkins University, holding joint appointments in Biostatistics, Applied Mathematics & Statistics, Neuroscience, and Computer Science. He leads the NeuroData lab, focusing on big data science, machine learning, and connectomics. Education: PhD and MSE in Neuroscience and Applied Mathematics from Johns Hopkins (2009), BS in Biomedical Engineering from Washington University (2002). Notable achievements include co-founding the Open Connectome Project (acquired by APL) and Gigantum (acquired by NVIDIA). Recognized with the NSF CAREER Award (2020), F1000 Prime (2014), and multiple Johns Hopkins Discovery Awards. Research emphasizes statistical connectomics, network science, and applying AI to biomedical challenges. Key contributions include mapping the first insect brain connectome (Science 2023) and developing open-source tools like CloudReg and BrainLine. Collaborates with Microsoft Research and industry partners, co-founding ventures like Global Domain Partners and Mind-X. Advised over 60 trainees, teaches machine learning and data science. Promotes open science through NeuroData's ecosystem of tools and data. Current work explores organoid intelligence, prospective learning, and neural network dynamics.

Christian JacobView profile

Professor

• Algorithms gleaned from nature
• Biocomputing
• Bioinformatics
• +6 more

Christian Jacob is a Professor in the Department of Computer Science within the Faculty of Science at the University of Calgary . He holds a B.S. in Computer Science and a Doctor of Engineering Science from Erlangen University . His research focuses on nature-inspired algorithms, biocomputing, and agent-based simulations applied to biological systems and education. Key initiatives include the LINDSAY Virtual Human Project , which uses immersive virtual reality to explore human anatomy and physiology. He contributes to the university's strategic priorities in Digital Worlds and Health and Life initiatives. His work integrates evolutionary algorithms, cellular automata, and swarm intelligence into creative and medical applications. Notable achievements include the ASTech Award (2015) from Alberta Science and Technology. His projects emphasize interactive education through tools like LeukemiaSIM , Eukaryo , and the Giant Walkthrough Gut . Jacob also explores visualization techniques, such as evoVision3D and LifeBrush , to enhance scientific understanding. His research bridges computational methods with real-world applications in healthcare, architecture, and game design. Collaborative efforts include developing agent-based models for immune systems, nervous responses, and crowd behavior. Jacob's work spans interdisciplinary fields, blending computer science with biology, engineering, and the arts.

Thierry BardiniView profile

Professor

• Cyberculture
• Sociology of Science and Technology
• Media Theory
• +4 more

Thierry Bardini is a Full Professor in the Department of Communication at the Université de Montréal's Faculty of Arts and Sciences. His office is located in Marie-Victorin, room B407. Bardini researches the history and sociology of cyberculture, focusing on the intersections between information technology and molecular biology, particularly examining the concept of post-humanity and the engineering of post-human, post-animal, and post-machine entities. His research expertise spans media theory, bioarts, science and technology studies, and research-creation methodologies. Bardini's current work explores how technologically modified animals can reveal insights about post-human futures, developing ethnographic approaches to bio-engineering practices beyond traditional bioethics frameworks. Bardini's publications demonstrate a consistent focus on cybernetic evolution and biological transformation. His book 'Junkware' examines the history of molecular biology through the lens of 'junk DNA,' while his articles explore speculative biology and the philosophical implications of cybernetic synthesis. This body of work contributes significantly to understanding technological mediation in biological contexts.

Tom F.A. de GreefView profile

Professor

• Synthetic Biology
• Molecular Computing
• Engineered Living Systems
• +4 more

Tom F.A. de Greef is a Full Professor at Eindhoven University of Technology's Biomedical Engineering department, leading pioneering research at the intersection of synthetic biology, molecular computing, and engineered living systems. He founded the Center of Living Technologies and serves as a Core Professor at the Institute for Complex Molecular Systems (ICMS). Key research areas: Biological Computing Devices, DNA-based Data Storage, Engineered Living Materials, Synthetic Cell Engineering, Digital Chemistry, and Protocell Communication. His work has resulted in over 100 publications in Nature , Nature Chemistry , and Nature Nanotechnology , supported by prestigious awards including ERC Consolidator, Starting, and PoC grants, as well as NWO's VICI, VIDI, and VENI grants. He received the Cram-Lehn-Pedersen Prize in 2017 and was named a Groundbreaking TU/e Researcher in 2022. Leadership roles: Founding member of Center of Living Technologies, Principal Investigator at TU/e, and Fellow of the Netherlands Academy of Engineering. He supervises a large research group with >15 PhD students and leads collaborations across international institutions, focusing on programmable molecular systems and sustainable technologies aligned with UN SDGs.

Stephanie ForrestView profile

Professor

• Cybersecurity
• Software Engineering
• Computational Immunology
• +8 more

Stephanie Forrest is a Professor of Computer Science at Arizona State University and serves as Director of the Biodesign Center for Biocomputation, Security and Society . She holds affiliations with the School of Computing and Augmented Intelligence , Global Futures Laboratory , and Santa Fe Institute External Faculty . Education: B.A. from St. John's College M.S. and Ph.D. in Computer Science from the University of Michigan Research Interests: Forrest specializes in the intersection of biology and computation , with key contributions to cybersecurity (anomaly detection, instruction-set randomization), automated software repair (evolutionary methods), and biological modeling (immune systems, SARS-CoV-2 spread). Her work bridges complex adaptive systems , AI/ML , and defense applications . Scientific Contributions: 2020 IEEE S&P Test of Time Award 2019 ICSE Most Influential Paper Award 2011 ACM/AAAI Allen Newell Award NSF Presidential Young Investigator (1991) IEEE Fellow Evolutionary Computation Pioneer award Publications & Grants: Her research appears in top venues (ICSE, IEEE S&P, PNAS) and is funded by the National Science Foundation , DARPA , Air Force Research Lab , and Santa Fe Institute . Key projects include Crispy (CRISPR-inspired DoS defense), GenProg (automated bug correction), and SIMCoV-GPU (agent-based pandemic modeling).

James TuckView profile

Professor

• Computer Architecture
• Compiler Design
• Chip Multiprocessors
• +3 more

James Tuck is a Professor and Senior Associate Department Head for Undergraduate Affairs in the Department of Electrical and Computer Engineering at NC State University. He holds a BE from Vanderbilt University, and MS and PhD from the University of Illinois at Urbana-Champaign. His research focuses on computer architecture, compiler design, and DNA-based data storage, with notable contributions to chip multiprocessors and speculative execution. He has been recognized with two IEEE Micro Top Picks Paper Awards and the William F. Lane Outstanding Teaching Award. Education: Ph.D. in Computer Science, University of Illinois at Urbana-Champaign (2007) MS in Electrical and Computer Engineering, University of Illinois at Urbana-Champaign (2003) BE in Computer Engineering, Vanderbilt University (1999) Research Interests: Computer Architecture and Systems Compiler Design for Multiprocessors Hardware Support for Speculative Execution Advances in DNA Data Storage Non-Volatile Memory Systems Recent work emphasizes DNA storage scalability and security, including frameworks like FrameD and innovations in nanopore decoding. His articles span hardware optimization, persistent memory security, and biochemical storage solutions. Awards highlight both technical and pedagogical excellence. Advising and Grants: Leadership in Undergraduate Engineering Affairs NSF grants for DNA storage and memory systems Labs/Teams: Member of Undergraduate Affairs Team in NC State ECE Collaborations with Chemical and Biomolecular Engineering

Chiquito J. CrastoView profile

Research Professor

• Computational biology
• Bioinformatics
• Neuroscience
• +5 more

Chiquito J. Crasto is a Research Professor at Texas Tech University's Center for Biotechnology and Genomics, with an Adjunct faculty position in the Department of Computer Science and University Studies. He specializes in bioinformatics, computational biology, and neuroscience, supporting research in genomics, proteomics, and chemical senses. Education: Indian Institute of Technology (undergraduate), University of New Orleans (Ph.D. in Chemistry) Key Research Areas: Bioinformatics, chemical senses, biological networks, bacterial genomics, proteomics, and computational biology software development Awards: Government of India National Merit Scholarship, Plain and Fancy Postdoctoral Fellowship, TTU President Leadership Fellow Leadership: Manager of CBG's Bioinformatics core, expanded graduate programs, and developed undergraduate computing applications minor His work spans chemical senses, biological networks, bacterial genomics, and computational biology software tools. He has edited books on neuroinformatics and olfactory receptors, taught graduate bioinformatics courses, and advocated for e-education through online courses like Bioinformatics Methods and Biocomputing. Dr. Crasto collaborates with Yale University's Department of Neuroscience and Center for Medical Informatics, maintaining olfactory databases for the SenseLab project.

Sarah WolfView profile

Assistant Professor

• Agent-Based Modeling
• Sustainability Transitions
• Green Growth
• +5 more

Dr. Sarah Wolf serves as Head of the Junior Research Group 'Mathematics for Sustainability Transitions' at Free University of Berlin's Department of Mathematics and Computer Science and as a Senior Researcher and Board Member at the Global Climate Forum (GCF). Her dual affiliation bridges rigorous mathematical modeling with real-world sustainability policy, focusing on complex socio-ecological systems through an interdisciplinary lens since joining GCF's Green Growth initiative in 2012. Wolf earned her PhD in Mathematics from Freie Universität Berlin in 2010 with the thesis 'From Vulnerability Formalization to Finitely Additive Probability Monads,' developed during interdisciplinary work at the Potsdam Institute for Climate Impact Research. Her academic foundation combines pure mathematics with applied climate impact research, establishing her unique approach to formalizing sustainability concepts. Her research centers on agent-based modeling of socio-technical systems, with core expertise in sustainability transitions , green growth mechanics , and sustainable mobility . She develops mathematical frameworks to clarify vulnerability concepts while embedding simulations in stakeholder dialogues through innovations like the 'Decision Theatre Triangle.' This work uniquely positions mathematics as both analytical tool and communication medium for climate policy. Analysis of her 15 most recent publications reveals an evolutionary trajectory from foundational vulnerability formalization (2009-2012) toward applied stakeholder-integrated modeling (2021-2023). Her work consistently bridges mathematical rigor with policy relevance, showing increasing emphasis on participatory approaches while maintaining computational sophistication in agent-based systems. No scientific awards are documented in the source material, though her leadership in the MATH+ junior research group indicates competitive funding attainment. As group head, she directs research strategy and likely mentors junior researchers, though no formal student advisees are listed. Wolf leads the 'Mathematics for Sustainability Transitions' junior research group within FU Berlin's Biocomputing Group, collaborating with institutions like the Potsdam Institute. Her team develops computational frameworks for green growth transitions, emphasizing stakeholder co-creation through platforms like the Decision Theatre while maintaining strong ties to GCF's global policy networks.

• Protein Design
• DNA Nanotechnology
• Bionanomaterials
• +3 more

Li Zhe is an Associate Professor and Doctoral Supervisor at the Department of Biomedical Engineering , Southern University of Science and Technology, since May 2024. He previously served as Assistant Professor at the same department from 2023 to 2024. His educational background includes a PhD in Analytical Chemistry from Purdue University (2019) under Prof. Chengde Mao, and a B.S. in Materials Chemistry from Peking University (2014). Research Focus: Protein design, DNA nanotechnology, bionanomaterials, and self-assembly Awards: 2023 National Natural Science Fund for Excellent Young Scientists (Overseas) 2019 Chinese Government Award for Outstanding Self-financed Students Abroad 2019 M.G. Mellon Award in Analytical Chemistry Publications: His 20+ works in high-impact journals like Science and Nature Materials emphasize computational protein design, DNA crystal engineering, and molecular actuation systems.