Find Academic Supervisors

• Cancer Biology
• Virology
• Proteomics
• +12 more

Dr. Shane C Burgess is Vice President of the University of Arizona Division of Agriculture, Life and Veterinary Sciences, and Cooperative Extension, and the Charles-Sander Dean of the College of Agriculture, Life and Environmental Sciences. He leads a $320M/year enterprise that serves over 10,700 students and engages in extensive research and community outreach across Arizona. A first-generation student, he earned his veterinary degree with distinction from Massey University (New Zealand) and later completed a PhD in virology, immunology, and cancer biology at the University of Bristol Medical School. His research spans cancer biology, virology, proteomics, immunology, bioinformatics, and computational biology . He has made significant contributions to functional genomics, particularly in agricultural and veterinary contexts, and co-founded AgBase, a key resource for functional modeling in agricultural organisms. His work integrates high-throughput technologies like RNA-Seq, proteomics, and genome tiling arrays to improve genome annotation and understand host-pathogen interactions. The 15 most recent publications highlight a strong focus on systems biology, transcriptomics, and proteomics applied to pathogens such as Histophilus somni , Mannheimia haemolytica , and Marek’s Disease Virus, as well as agricultural species like chickens, cattle, and Miscanthus. His research consistently emphasizes functional annotation, genome refinement, and the discovery of non-coding RNAs and novel protein-coding regions. Scientific Awards: Institute for Animal Health Director's Award for Service Dr. Burgess has mentored 38 graduate students and secured over $53 million in competitive funding. He previously served as an assistant professor and later professor, associate dean, and director of the Institute for Genomics, Biocomputing and Biotechnology at Mississippi State University. He has been instrumental in major collaborative efforts, including the Gene Ontology Consortium and the Bovine Gene Atlas project. He currently leads large interdisciplinary teams focused on agricultural innovation, life sciences, and veterinary medicine. Notable labs and research initiatives under his leadership include the development of computational tools such as TAAPP (Tiling Array Analysis Pipeline for Prokaryotes) , GOModeler , and the Proteogenomic Mapping Tool , all designed to enhance genome annotation and functional modeling in non-model organisms.

• Computational Logic
• Answer Set Programming
• Bioinformatics
• +6 more

Alessandro Dal Palu' is an Associate Professor at the Department of Mathematical, Physical, and Computer Sciences at University of Parma. He holds a PhD in Computer Science from University of Udine and has been with University of Parma since 2005, transitioning from Researcher to Associate Professor in 2014. His teaching portfolio includes courses on Computer Architecture, Constraint Programming, and Algorithms & Data Structures. His research spans computational logic, bioinformatics, and GPU computing. Notable achievements include the 2007 GULP award for his Ph.D. thesis and the ICLP 2010 best paper award. He has led Italian INdAM-GNCS research projects on GPU applications (2011) and Logic Programming in cancer genomics (2016). Recent publications focus on explainable AI frameworks, bioinformatics applications, and sustainable logistics solutions. His work integrates Answer Set Programming with biomedical challenges like protein structure analysis and cancer genome evolution. He chairs the International Conference on Logic Programming (ICLP 2018) and has organized multiple international workshops on constraint programming. 2007 GULP Award ICLP 2010 Best Paper PI for INdAM-GNCS projects (2011, 2016) Program Committee member for international conferences

Luisa OrsiniView profile

Professor

• Environmental Omics
• Evolutionary Systems Biology
• Environmental Pollution
• +7 more

Professor Luisa Orsini is a Professor of Evolutionary Systems Biology and Environmental Omics at the University of Birmingham's School of Biosciences, and Deputy Director of the Centre for Environmental Research and Justice (CERJ). She holds an Alan Turing Fellowship and is a Fellow of the Higher Education Academy. Her roles also include Co-founder and CEO of Daphne Water Solutions and Founder/CTO of EnviSion BioSequencing and BioComputing. Education: PhD (2003) from University of Messina/Stazione Zoologica A. Dohrn, Italy; MSc in Environmental Science (1999) from Istituto Universitario Navale, Naples, Italy. Her postdoctoral training spanned institutions in Belgium, Finland, and Austria, funded by prestigious fellowships such as the Belgian Research Council (FWO) and the Finnish Cultural Foundation. Research focuses on two core themes: biodiversity-environmental pollution linkages and mechanisms of adaptation to environmental change. Key projects include the 'Biodiversity Time Machine' framework using AI to predict biodiversity loss, and resurrecting dormant crustaceans (Daphnia) to study long-term evolutionary responses. Her work bridges ecology, genomics, and AI, with applications in sustainable water solutions and environmental justice. Awards and recognitions include the Alan Turing Fellowship (2019–2021), Member of the Royal Society of Biology (2020), and certifications in academic leadership and enterprise. Her research has been featured in high-impact journals like Trends in Ecology and Evolution , Nature Communications , and Molecular Ecology , with over 60 publications and 2,700 citations. Advising and Grants: Supervised over 20 PhD/Master’s students and postdocs, including Marie Curie Fellows. Led grants from BBSRC, EPSRC, and Innovate UK, focusing on bioremediation, AI-driven ecology, and wastewater valorization. Labs/Teams: Directs the Environmental Omics Sequencing Facility (EnviSion) and collaborates with the Daphnia facility at the University of Birmingham. Engages in interdisciplinary projects with the Alan Turing Institute and Goethe University Frankfurt.

• Biomedical Engineering
• Cardiac Electrophysiology
• Neural Interfaces
• +5 more

Overview Amr Al Abed is a Senior Lecturer at the Graduate School of Biomedical Engineering, University of New South Wales . He specializes in computational modeling, biomedical instrumentation, and electrophysiology with a focus on cardiac and neural systems. His work bridges biocomputational simulations with experimental validation, emphasizing translational applications like gene therapy delivery, medical devices, and brain-machine interfaces. Education PhD in Biomedical Engineering (UNSW, 2012) Masters in Biomedical Engineering (UNSW, 2006) Bachelor of Medical Sciences (1st Class Honours, UNSW, 2004) Research Interests His research spans: Optrode Technology: Development of liquid crystal-based optrodes for neural and cardiac sensing. Gene Electrotransfer: Novel methods for targeted DNA/RNA delivery using conductivity-clamped electric fields. Computational Cardiology: Multi-physics models of heart mechanics and fluid dynamics for surgical planning and device design. Neural Interfaces: Bidirectional stimulation/detection systems for retinal and neural prosthetics. Publications His 2023-2025 work highlights advancements in flexible electrode arrays , motorless robotic systems , and deep tissue gene delivery . Key themes include biomedical device innovation, computational modeling of cardiovascular systems, and neurotechnology. Grants & Labs Leads projects on liquid crystal optrodes and electrotransfer systems. Collaborates with labs focused on neural interfaces and cardiac electrophysiology. Active in IEEE and SPIE conferences with over 70 peer-reviewed publications.

Sara RivaView profile

Associate Professor

• Discrete Dynamical Systems
• Cellular Automata
• Boolean Networks

Sara Riva is an Associate Professor (Maître de Conférences) in Computer Science at Université de Lille, affiliated with the CRIStAL laboratory (UMR 9189). She is a member of the BioComputing research group and the MSV thematic group. Her academic journey includes a PhD jointly supervised by Université Côte d'Azur and Università degli Studi di Milano-Bicocca (2019-2022) and postdoctoral research at Université de Bordeaux (2022-2023). Her research explores Discrete Dynamical Systems , Cellular Automata , and Boolean Networks , with emphasis on equation solving, factorization methods, and dynamics modeling. She develops algorithmic approaches to analyze complex behaviors in computational and biological systems. Publications (2019-2023) demonstrate consistent focus on theoretical foundations of discrete systems, with applications in systems biology and complex modeling. Key themes include Boolean network dynamics, computational pipelines for equation solving, and sensitivity analysis in cellular automata. Awards: First prize for PhD students (Computer Science), STIC doctoral school Teaching: Extensive instructional experience at Université de Lille and Université Côte d'Azur covering: Algorithms & Programming (72+ lab hours) Databases (39+ lab hours) Logic, Graph Theory, Web Technologies (18+ lab hours each) IT Security and Information Coding (18 hours each) Academic Service: Member of CRIStAL's parity commission; Program Committee for AUTOMATA 2024; President of ADSTIC PhD association (2021-2022); Organized summer schools (EJCIM 2022).

• Extracellular Vesicles
• Prostate Cancer Biomarkers
• Liquid Biopsies
• +3 more

Alicia Llorente is a Professor at Oslo Metropolitan University's Faculty of Technology, Art and Design within the Department of Mechanical, Electrical and Chemical Engineering. She is a leading researcher in extracellular vesicle biology with a focus on cancer diagnostics and liquid biopsies. Institution : Oslo Metropolitan University Department : Mechanical, Electrical and Chemical Engineering Her research explores: Extracellular vesicle dynamics in cancer progression Lipidomics of organelle-derived vesicles Exercise-induced EVs for cancer prevention Standardization of EV isolation protocols Article trends show expertise in prostate cancer biomarkers (8 publications), EV characterization (6 papers), computational modeling (3 studies), and clinical applications (4 recent 2023-2025 papers). Key collaborations include: Oslo University Hospital's CanCell Research Initiative International Society for Extracellular Vesicles (ISEV) Cambridge University's Precision EV Forum

Yulia GerasimovaView profile

Associate Professor

• Biochemistry
• Molecular Biology
• Nucleic Acid Engineering
• +4 more

Yulia Gerasimova serves as an Associate Professor in the Department of Chemistry at the University of Central Florida's College of Sciences. Her research program centers on functional engineered DNA molecules, specifically deoxyribozymes and aptamers, for applications in bioanalysis and point-of-care diagnostics. Her laboratory specializes in the selection, characterization, and optimization of catalytic DNA (deoxyribozymes) and DNA-based receptors (aptamers). These engineered molecules enable "green" catalysis , RNA-cleaving anti-cancer therapeutics, and detection systems for ions, biomolecules, and pathogens. The group designs multicomponent DNA probes that self-assemble upon target recognition, providing cost-efficient, highly selective nucleic acid detection with versatile signal outputs including colorimetric changes. Dr. Gerasimova's publication record demonstrates consistent innovation in DNA-based biosensors, with recent work focusing on pathogen detection (particularly drug-resistant tuberculosis), molecular computing, and SNP analysis. Her research bridges fundamental nucleic acid engineering with practical diagnostic applications. She has advised undergraduate researchers including Michael Greenberg, recipient of UCF's January Distinguished Undergraduate Research Award for work on deoxyribozymes. Dr. Gerasimova also contributes to significant collaborative efforts such as UCF's $1.3 million state-funded Zika virus research initiative. Her laboratory maintains active development of DNA-based diagnostic platforms for bacterial and viral pathogens, emphasizing field-deployable solutions for resource-limited settings through point-of-care nucleic acid detection systems.

Peter TielemanView profile

Professor

• Molecular Simulation
• Biophysics
• Membrane Biology
• +4 more

Peter Tieleman is a Professor in the Department of Biological Sciences at the University of Calgary and holds the NSERC Canada Research Chair (CRC I) in Molecular Simulation. His work focuses on computational biophysics, particularly studying membrane proteins, lipid bilayers, and drug-membrane interactions using molecular simulations. He leads the Biocomputing Group and the Centre For Molecular Simulation. Education: PhD in Chemistry, University of Groningen (1998) EMBO Fellowship in Molecular Biophysics, University of Oxford (2000) MSc and MA in Chemistry and Philosophy, University of Groningen (1995) Postdoctoral Fellowship in Biophysical Chemistry, University of Groningen (1999) Research Interests: Theoretical techniques linking structure and function of biomolecules, membrane protein simulations, lipid-protein interactions, and computational drug discovery. His lab develops coarse-grained models like the Martini force field for biomolecular simulations. Awards: Fellow of the Royal Society of Chemistry (2015) Killam Annual Professorship (2015) Rutherford Memorial Medal in Chemistry (2008) E.W.R. Steacie Memorial Fellowship (2009) Teaching & Leadership: Teaches courses like BCEM 471 (Physical Biochemistry) and BCEM 577 (Biomolecular Simulation). Holds leadership roles in research grants and international collaborations, including the AITF Tier 1 Strategic Chair (2012). Active in advancing FAIR principles for computational data sharing. Labs & Teams: Directs the Biocomputing Group and the Centre For Molecular Simulation , focusing on collaborative computational and experimental approaches to membrane biology.

Darko StefanovicView profile

Professor

• Programming Languages
• Molecular Computing
• Scientific Simulations
• +3 more

Darko Stefanovic is a Professor of Computer Science (and courtesy faculty in Chemical & Biological Engineering) at the University of New Mexico. He has been continuously active in teaching and research since at least 2000, with a focus on programming languages, molecular computing, and scientific simulations. University: University of New Mexico Department: Department of Computer Science Academic Rank: Professor His research interests span molecular computing , DNA nanotechnology , and synthetic biology , with recent publications exploring applications in artificial β-cells , heterochiral translators , and reservoir computing with chemical systems . Many publications involve collaborations with researchers in biochemistry, nanotechnology, and systems biology. Teaching activities include numerous offerings of courses such as Compiler Construction , Programming Paradigms , Software Foundations , and Algorithms and Data Structures at both undergraduate and graduate levels. Course materials often emphasize functional programming (e.g., Standard ML), λ-calculus, and logic programming implementations. Recent publications (2025–2019) demonstrate ongoing work in molecular robotics , DNA-based computation , and synthetic cell engineering . These works frequently appear in venues related to biomolecular computing , nanotechnology , and synthetic biology . Teaching Career spans multiple decades at UNM, covering topics from foundational programming to advanced compiler construction. Course materials show emphasis on formal methods, programming language theory, and computational models, including implementations of λ-calculus interpreters and Prolog systems.

Janet HuangView profile

Assistant Professor

• Human-AI Interaction
• Creative AI
• Design of AI Systems
• +3 more

Janet Huang serves as Assistant Professor in the Industrial Design department at Eindhoven University of Technology (TU/e), where she contributes to the Future Everyday group. Her research pioneers human-AI co-learning frameworks that empower designers to harness AI as a creative material for solving complex real-world problems across diverse contexts. Academic Background: PhD in Computer Science, National Taiwan University (2018) MSc in Computer Science, National Taiwan University (2008) Research Focus: Dr. Huang designs novel toolkits bridging data sensemaking and decision-making support, with emphasis on creative AI applications and ethical human-AI collaboration . Her work spans healthcare data visualization, urban play systems, and memory augmentation tools, consistently exploring how AI can enhance human creativity while addressing societal implications. She employs participatory design methods to develop systems that balance technical innovation with user-centered values. Publication Trends: Recent articles (2023-2025) reveal three dominant trajectories: (1) generative AI for domain-specific problem-solving in nursing and biodesign, (2) playful urban exploration systems examining citizen-AI tensions, and (3) memory and decision-making support tools analyzing anthropomorphism effects. These works demonstrate her signature approach of embedding technical AI research within rich human contexts. Awards & Recognition: Ph.D. Thesis Honorable Mention, TAAI 2018 MOST Postdoctoral Scholarship (Taiwan) Mingler Scholarship 2023 Best Poster Honorable Mention, CSCW 2023 Academic Contributions: Dr. Huang teaches specialized courses including Creativity and Aesthetics of Data & AI and Digital Craftsmanship , while supervising 19 student projects. Her research receives support from competitive grants including the MOST scholarship, with applications spanning healthcare innovation and sustainable community development. She actively contributes to UN Sustainable Development Goals through human-centered AI solutions. Research Environment: As core member of TU/e's Future Everyday group, she collaborates with interdisciplinary teams spanning computer science, design, and domain experts. Her lab environment emphasizes iterative prototyping and real-world deployment, particularly in healthcare settings and urban contexts where AI systems interface with complex human practices.

Athena AktipisView profile

Associate Professor

• Social Psychology
• Evolutionary Biology
• Cancer Biology
• +3 more

Athena Aktipis is an Associate Professor in the Department of Psychology at Arizona State University (ASU), where she directs the Cooperation and Conflict Lab and co-directs the Human Generosity Project. She holds affiliations with the Center for Evolution and Medicine, the Biodesign Center for Biocomputing, Security and Society, and the Global Futures Scientists program. Her research bridges evolutionary biology, social psychology, and cancer biology, focusing on cooperation and conflict across biological and social systems. Education: Ph.D. in Psychology (University of Pennsylvania, 2008); B.A. in Psychology (Reed College, 2002). Postdoctoral training at the University of Arizona and UCSF’s Center for Evolution and Cancer. She has received grants, including a National Science Foundation grant for studying risk management strategies. Research interests include cancer as a breakdown of multicellular cooperation, human generosity in crises, and microbial interactions. She applies computational models and fieldwork to explore principles of cooperation, with applications to cancer treatment and disaster response. Notable projects include the Human Generosity Project and the Cooperation in the Apocalypse initiative. Her work has been featured in outlets like the New York Times, Washington Post, and Scientific American. She authored books like *The Cheating Cell* and *A Field Guide to the Apocalypse*, and hosts the podcast *Zombified*. She teaches courses on cooperation, evolutionary psychology, and science communication.

• Artificial Intelligence
• Machine Learning
• Robotics
• +7 more

Stevo Bozinovski serves as Professor of Computer Science at South Carolina State University (SCSU), where he has been a distinguished faculty member for over 20 years. He coordinates the Biocomputing and Bioinformatics and Robotics and Embodied Intelligence minors, and directs the Center for Robotics and Embodied Intelligence. Education: 1973: BSc in Computer Science, University of Zagreb, Croatia 1975: MSc in Electronics, University of Zagreb, Croatia 1982: PhD in Computer Science, University of Zagreb, Croatia 1993: Diploma in Robotics, Krems Academy of Science, Austria 1993: Diploma in Artificial Intelligence, University of Brno, Czech Republic Additional training at Kanazawa Institute of Technology, Tsukuba University, and Ricoh Hatano Plant in Japan. Dr. Bozinovski's research bridges computer science with neurophysiology and robotics. His pioneering work established foundational contributions in brain-computer interfaces (first EEG-controlled robot in 1988), embodied intelligence, and biocybernetics. Current interests focus on neuroinformatics, brain-robot interaction, and the intersection of number theory with neural signals, reflecting his unique integration of mathematical rigor with biological systems. His labs produce innovations in robotic distance learning and neural interface applications. Recent publications (2015-2022) demonstrate consistent advancement in brain-computer interfaces and transfer learning, building on his historical contributions to reinforcement learning. His work shows an evolutionary trajectory from theoretical neural networks to practical neuro-robotic systems, with increasing emphasis on cross-disciplinary applications in medical science and cognitive modeling. Scientific Recognition: Royal Society of London recognition (2019) for neural interface breakthroughs World's first Internet-controlled robot for distance learning (2002) World's first robotic selfie achievement (2002) As coordinator of specialized minors and head of interdisciplinary labs, Dr. Bozinovski actively mentors students through robotics education initiatives and neurophysiology research. His leadership in the Center for Robotics and Embodied Intelligence demonstrates sustained grant-funded research in brain-robot systems, evidenced by world-first demonstrations in remote robotics education and neural control mechanisms. The Center for Robotics and Embodied Intelligence operates two specialized laboratories: the Lab for Artificial Intelligence, Robotics, and Biocybernetics (Computer Science program) and the Lab for Medical Science and Neurophysiology (Biology program). These facilities support his research in neural interfaces, embodied cognition, and biocomputing, fostering collaboration between computer science and life sciences disciplines.

• Algebra and Number Theory
• Theoretical Computer Science
• Statistical and Nonlinear Physics
• +6 more

Luis Miguel Pozo Coronado serves as a Professor in the Department of Mathematics Applied to Information and Communication Technologies at the Technical University of Madrid, holding this position since December 19, 2012. He actively contributes to the Mathematical Modeling and Biocomputing Research Group as a member since March 3, 2015. His research demonstrates exceptional interdisciplinary breadth across mathematical and physical sciences, with core expertise in Algebra and Number Theory, Theoretical Computer Science, and Discrete Mathematics and Combinatorics. Significant contributions extend into Statistical and Nonlinear Physics, Quantum Science & Technology, and multidisciplinary applications of Applied Mathematics and Mathematical Physics. This synthesis of pure mathematics with computational physics and information technologies defines his scholarly identity. Within the Mathematical Modeling and Biocomputing Group, Pozo Coronado engages in collaborative projects bridging abstract mathematical frameworks with real-world biocomputing challenges, particularly through quantum-inspired computational models and nonlinear dynamical systems analysis.

Lena SmirnovaView profile

Assistant Professor

• Developmental Neurotoxicity
• Gene-Environment Interactions
• In Vitro Toxicology
• +5 more

Lena Smirnova, PhD, is an Assistant Professor at the Johns Hopkins Bloomberg School of Public Health with primary appointments in the Department of Environmental Health and Engineering and the Center for Alternatives to Animal Testing (CAAT) . She specializes in human stem cell-derived models for developmental neurotoxicity testing and gene-environment interactions in autism. Education: PhD in Neuroscience (Free University of Berlin, 2007) Her research focuses on microRNA regulation , in vitro toxicology , and iPSC-derived brain organoids to replace animal models. Recent work explores organoid intelligence (OI) as a biocomputing frontier. She has published 76 research outputs since 2005, with 13 articles in 2024 and 13 in 2025 alone. Dr. Smirnova's publications highlight microphysiological systems for neurotoxicity screening, brain spheroid models for nanoparticle biocompatibility, and 3D neuronal cultures for resilience analysis. She advocates for animal-free testing through initiatives like the LUSH Prize and Green and Open Neuroscience Hero award. Scientific Awards: 2017-19 Excellence in Teaching (EHE courses) 2017 Green and Open Neuroscience Hero 2015 LUSH Prize Young Investigator 2011 World Congress on Alternatives Poster Award 2007 Berlin Scientist Society Doctoral Thesis Award 2002 DFG Graduate Scholarship She advises graduate students in multi-institutional collaborations and contributes to regulatory frameworks through the Good In Vitro Reporting Standards project. Her lab develops dynamic microphysiological platforms for studying environmental stress responses and neurodevelopmental disorders.

Volker SteuberView profile

Professor

• Computational Neuroscience
• Biologically-Inspired Machine Learning
• Spiking Neural Networks
• +2 more

Prof. Volker Steuber heads the Biocomputation Research Group at University of Hertfordshire's Centre for AI and Robotics Research. With a PhD in Computational Neuroscience from University of Edinburgh, his work develops biologically realistic models of neural systems and applies neuromorphic algorithms to real-world problems. Research combines multi-level neural simulations with experimental collaborations, focusing on cerebellar function, olfactory processing, and spiking neural networks. Current projects include NeuroNex initiatives on olfactory-guided behavior and adaptive robot controllers using synaptic plasticity principles. Recent publications demonstrate advances in olfactory receptor modeling, cerebellar-inspired robotics, and eye movement prediction. His group's interdisciplinary approach bridges computational neuroscience, machine learning, and robotics. President, Organization for Computational Neurosciences (2019-2022) NeuroNex Grant: From Odor to Action (2020-2025) FWF Project: Neuronal mechanisms of odor identification Steuber has supervised multiple PhD students and leads international collaborations across 15+ countries. He serves on editorial boards and has organized major computational neuroscience conferences.