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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

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.

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.

Dan NicolauView profile

Professor

• Biomolecular Motor Systems
• Micro/Nano-Engineered Surfaces
• Lab-on-a-Chip Technology
• +7 more

Dan Nicolau serves as a Professor and holds the Marika Zelenka Roy Chair in Bioengineering at McGill University's Faculty of Engineering, Department of Bioengineering. His research integrates bioengineering principles with micro/nano-fabrication techniques to develop innovative biomedical solutions. His research focuses on dynamic hybrid nanodevices utilizing protein molecular motors on semiconductor devices, smart micro/nano-profiled surfaces for biomolecular probing, non-denaturating biomolecule immobilization technologies for biosensors and microfluidics, and biological intelligence algorithms inspired by microorganism survival strategies. Key application areas include Lab-on-a-Chip systems, biosensors, high-throughput screening, and medical diagnostics. Analysis of his recent publications reveals a strong emphasis on vascular-on-chip modeling (particularly gas embolism and bubble dynamics), fungal intelligence algorithms for space exploration, protein-surface interactions , and molecular motor-based biosensors . His work bridges fundamental biophysics with practical engineering solutions for biomedical challenges. Scientific recognition includes the prestigious Marika Zelenka Roy Chair in Bioengineering at McGill University. His laboratory develops microfabricated structures for studying biological systems, with particular expertise in creating electro-mechanical devices that interface with biomolecules, combinatorial surface probing platforms , and network-based biocomputing systems . Current research directions include vascular system modeling, fungal navigation algorithms, and advanced biosensor development using molecular motors.

Lila KariView profile

Professor

• Biodiversity informatics
• Data science
• Machine learning
• +6 more

Lila Kari is a Professor and Cheriton Faculty Fellow at the School of Computer Science , part of the University of Waterloo in Ontario, Canada. Her research focuses on Biodiversity informatics , data science , and machine learning applications in comparative genomics and metagenomics , particularly for analyzing genomic signatures through Chaos Game Representation (CGR) and alignment-free methods. 2023 : Environment and taxonomy shape genomic signatures of extremophiles 2020 : Machine learning for rapid pathogen classification during pandemics 2019 : Ultrafast DNA sequence classification with ML-DSP 2016 : Additive genomic signatures for enhanced taxonomic differentiation 2015 : Mapping genomic signature spaces for molecular distance analysis 2009-2005 : Foundational work in DNA language theory and computational biology Her work has been instrumental in developing composite DNA signatures that combine nuclear and organellar genomic data for improved species differentiation, and assembled DNA signatures that enable analysis from fragmented sequencing data. She contributes to global initiatives like BIOSCAN for biodiversity surveillance and has created tools such as MLDSP-GUI for accessible DNA sequence analysis.