Loic Binan is an Assistant Professor in the Department of Human Genetics at McGill University, with additional affiliations as an Associate Member in the Department of Biomedical Engineering and the Integrated Program in Neuroscience. His research focuses on developing cutting-edge technologies to investigate how gene networks control the self-organization of cells into complex 3D tissues during development and in disease conditions. Dr. Binan's research interests span multiple interdisciplinary fields, with particular emphasis on cancer metastasis , where he investigates the genetic mechanisms allowing cells to reversibly transition between epithelial and mesenchymal phenotypes. His work also explores isoforms and non-coding regions , developing technologies to understand alternative splicing in neurodegenerative diseases, and examining how past cell-cell interactions shape present transcriptional activity during development. His laboratory employs a diverse array of techniques including CRISPR gene editing, spatial transcriptomics, single-cell RNA sequencing, advanced microscopy, and computational methods for image analysis. The recent publications reveal a strong trend toward integrating high-throughput genetic screening with spatial transcriptomics to map gene regulatory networks across both cancer biology and neuroscience contexts. Dr. Binan leads the Binan Lab at the Lady Davis Institute for Medical Research, where his team develops precision gene editing tools such as Cas9 and Cas12 for high-throughput screens, creates novel imaging tools to collect spatial context data, and builds computational tools to analyze these complex new data types. His research primarily focuses on cancer and neurodegenerative diseases, with particular attention to brain development and tumor microenvironments.
Luigi Bruno is an Associate Professor of Machine Design at the Department of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria. He has held this position since 2014, following 12 years as an Assistant Professor at the same institution and Visiting Professorships at IIT Gandhinagar (2012), University of Alabama at Birmingham (2013-2017), and Free University of Bozen-Bolzano (2021). 1999 : Master's in Mechanical Engineering, University of Calabria (110/110 cum laude) 2003 : PhD in Mechanical Engineering, University of Pisa His research interests span: Experimental Mechanics : Pioneering speckle interferometry for micro-displacement measurement and residual stress analysis. Materials Science : Elastic characterization of anisotropic materials, biomedical applications of soft substrates, and 3D-printed composites. Biomedical Engineering : Mechanical behavior of biological tissues, ocular biomechanics, and dental implant material testing. Recent research trends focus on: Integrating artificial muscles into rehabilitation devices Advancing full-field optical measurement via microCT/DVC Optimizing 3D printed polymer adhesion for industrial components Exploring neuronal biomechanics on soft surfaces Scientific contributions include: CS2007A00010 patent for dual-focus speckle interferometers Deputy Editor of Optics and Lasers in Engineering (2019-present) Guest Editor for special issues on optical methods in experimental mechanics and nanobiotechnology Academic leadership extends to coordinating Mechanical Engineering committees (2021-present), serving on editorial boards, and organizing international conferences like AIAS National Conference (2018). He has secured multiple MIUR research grants and industry collaborations with Alfagomma, 3DNA, and Ferrovie della Calabria. His laboratory, Mechanics of Materials and Structures , supports both research and teaching activities with advanced optical measurement systems and computational tools for mechanical design.
Barbara Grochowicz serves as a Lecturer in the Department of Drive Automation and Robotics at Opole University of Technology. She maintains active teaching duties during the 2024/2025 academic year, conducting consultations on Tuesdays (10:10-10:55 and 12:30-13:15) in building P1, room 111/120. Her research centers on robotics and automation systems, with specialized focus on drive mechanisms and control engineering. These fields are critical for advancing industrial automation, robotic mobility systems, and precision motion control applications across manufacturing and engineering sectors. Her work bridges theoretical control principles with practical robotic implementations. Contact details include phone: 77 449 8028 and email: b.grochowicz@po.edu.pl. She participates in standard university teaching activities through the Employee's schedule and PO Knowledge Base profile.
Marta Halina is a University Associate Professor in the Philosophy of Cognitive Science at the University of Cambridge, affiliated with the Department of History and Philosophy of Science. She serves as a Senior Research Fellow at the Leverhulme Centre for the Future of Intelligence and is a Fellow of Selwyn College. Her academic journey began with a PhD in Philosophy and Science Studies from the University of California, San Diego in 2013, followed by a McDonnell Postdoctoral Fellowship in the Philosophy-Neuroscience-Psychology Program at Washington University in St. Louis before joining Cambridge in 2014. Halina's educational background includes a PhD from UC San Diego (2013) and postdoctoral training at Washington University in St. Louis. Her academic trajectory reflects a strong interdisciplinary foundation bridging philosophy, cognitive science, and neuroscience. Her research focuses on nonhuman animal cognition, mechanistic explanation, and artificial intelligence, with particular emphasis on comparative cognition and the philosophical foundations of cognitive science. Halina investigates how researchers design studies to address complex questions about animal minds, arguing that current methods in comparative cognition often face challenges with hypothesis underdetermination by empirical evidence. She advocates for additional behavioral constraints on theorizing, known as 'signature testing,' while emphasizing the need to incorporate neuroscience and biology more substantially into animal cognition research. Her work on major transitions in cognitive evolution proposes treating the evolution of cognition as a series of major evolutionary transitions to better comprehend cognitive complexity across species. Analysis of Halina's recent publications reveals a clear trajectory toward computational comparative cognition. Her work increasingly integrates AI and machine learning techniques with traditional comparative cognition approaches, exemplified by her development of the Animal-AI Testbed. This platform allows for direct comparison between AI systems, humans, and animals on cognitive tasks, revealing that while AI and children perform similarly on basic navigational tasks, children outperform AI on more complex cognitive tests requiring object permanence. Her research demonstrates how computational modeling can generate novel hypotheses about animal behavior that generate precise, testable predictions beyond what traditional experimental methods alone can achieve. McDonnell Postdoctoral Fellowship Halina directs research initiatives at the Leverhulme Centre for the Future of Intelligence, particularly focusing on the intersection of AI and animal cognition. Her work on the Animal-AI Environment has received significant funding and collaborative support, enabling interdisciplinary research that bridges computer science, cognitive science, and biology. She actively collaborates with researchers across multiple institutions to develop computational frameworks for understanding nonhuman animal cognition. Halina leads significant research initiatives through the Leverhulme Centre for the Future of Intelligence, where she develops the Animal-AI Environment—a research platform for conducting cognitive experiments with artificial agents, humans, and nonhuman animals in directly comparable, ecologically valid contexts. This environment facilitates interdisciplinary collaboration between computer scientists, engineers, biologists, and cognitive scientists, reducing the 'language barrier' between these fields and enabling cross-pollination of ideas and methodologies.
Professor Kristopher Kilian is Director of the Laboratory for Advanced Biomaterials & Matrix Engineering (LAB&ME) with a joint position across the School of Chemistry and the School of Materials Science & Engineering in the Faculty of Science at UNSW Sydney. He serves as co-Director of the Australian Centre for NanoMedicine (ACN) and is a member of the Adult Cancer Program in the Prince of Wales Clinical School. His interdisciplinary research focuses on unraveling 'matrix structure-cell function' relationships through innovative biomaterial design. After completing his PhD at the University of New South Wales, Kilian pursued NIH postdoctoral training at the University of Chicago before faculty positions at the University of Illinois at Urbana-Champaign (2011-2018). He returned to UNSW in 2018 as a Scientia Fellow, establishing his current leadership roles. Research Focus: Design of model extracellular matrices and dynamic hydrogels for cell and tissue engineering Fundamental studies in cell plasticity and matrix-directed cell fate Development of synthetic tumor microenvironments for drug testing iPSC-derived organoid bioengineering 4D biofabrication techniques Tissue engineering approaches for lab-grown meat applications His extensive publication record demonstrates consistent focus on hydrogel mechanics, dynamic biomaterials, and the role of physical cues in directing cell behavior. Recent work emphasizes mechanochemistry, spatial control of cell differentiation, and the development of sophisticated tumor models that replicate the complexity of cancer microenvironments. Scientific Recognition: Cornforth Medal (2008) NIH Ruth L. Kirchstein Award (2008) Kavli Fellow (2014) NSF CAREER Award (2015) Australian Research Council Future Fellowship (2018) Eureka Prize finalist (2023) Kilian's research program bridges fundamental cell biology with translational applications, particularly in cancer modeling and regenerative medicine. His laboratory develops innovative biomaterial platforms that enable precise control over cellular microenvironments, facilitating discoveries in cell plasticity and tissue engineering. The group's work on dynamic hydrogels and mechanochemical systems represents a significant contribution to the field of biomaterials science. As Director of LAB&ME, Kilian leads a multidisciplinary team that integrates nano- and micro-fabrication techniques with synthetic chemistry to create biomimetic materials. The laboratory's approach centers on the concept that cell state and fate are governed by inherent cell plasticity within specific multivariate signaling contexts.
The Atomic Quantum Optics Group at ICFO, Barcelona , led by Morgan W. Mitchell , investigates quantum phenomena at the interface of light and matter. The group develops advanced sensing technologies with applications in biomedicine, space science, and fundamental physics. Research focuses on ultra-cold atoms, high-coherence photons, and entanglement, aiming to understand and utilize atomic coherence for quantum technologies. Their work includes pushing sensitivity limits in magnetic field detection, quantum thermometry, and miniaturized quantum devices. Recent publications highlight advancements in cavity-enhanced spin detection , anomalous noise in SERF magnetometry , and spread-spectrum magnetic sensing . These studies span quantum optics, atomic physics, and applied quantum technologies. Scientific awards include mentoring students like Joanna Zielinska and Carlos Abellan , who won the UPC Thesis Prize. The group actively trains PhD students, postdocs, and visiting researchers in quantum technologies.
Amanda Watson is an Assistant Professor in Electrical and Computer Engineering at the University of Virginia, with joint appointments in Computer Science. She leads the Watson Research Lab within the UVA Link Lab, a multidisciplinary center for Cyber-Physical Systems (CPS) and Internet of Medical Things (IoMT) research. Her work bridges wearable technology with healthcare and athletic performance applications, focusing on noninvasive monitoring, physiological signal analysis, and safety-critical medical devices. She is also the cofounder and CEO of Luminosity Wearables, commercializing a noninvasive continuous glucose monitor. Education: PhD in Computer Science (2020) - College of William & Mary MSc in Computer Science (2016) - College of William & Mary Bachelors in Computer Science and Mathematics (2014) - Drury University Her research spans multiple domains including: Wearable spectroscopy for nutrition and skin health Machine learning for drug overdose and fall risk detection Biomechanical monitoring in sports medicine Wearable support for visual and neurological impairments IoMT device integration and analytics Recent publications (2024-2025) show strong emphasis on calibration-free physiological monitoring systems, with technical contributions in spectral analysis , multi-wavelength sensing , and rapid prototyping for healthcare wearables. Applications range from maternal health to gerontological social isolation detection. Lab and Team: The Watson Research Lab at UVA develops wearable solutions for clinical and athletic contexts, with ongoing collaborations in the PRECISE Center at University of Pennsylvania and LENS lab at William & Mary alumni network. She works with multidisciplinary teams including engineers, clinicians, and data scientists.
Zachary Tatlock is an Associate Professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington, where he leads the Programming Languages & Software Engineering Group (PLSE) and the SAMPL Group. His research spans programming languages, formal verification, compilers, and computational fabrication. He is also an Amazon Scholar with AWS's Automated Reasoning Group and previously advised OctoML. Tatlock's work bridges theoretical foundations with practical systems, focusing on making it easier to write tricky code while ensuring correctness through rigorous proofs and measurements. PhD in Computer Science & Engineering, University of California, San Diego (2014) Thesis: Reducing the Costs of Proof Assistant Based Formal Verification Advisor: Sorin Lerner BS in Computer Science (Honors) and Mathematics, Purdue University (2007) Professor Tatlock's research focuses on the intersection of programming languages, formal methods, and systems. His work in compilers and formal verification aims to make it easier to write tricky code while ensuring correctness through rigorous proofs. He explores computational fabrication techniques that bridge digital design with physical manufacturing. His recent work on equality saturation (via the egg framework) has transformed program optimization and synthesis. Tatlock also investigates floating-point numerics, distributed systems verification, and hardware/software co-design, always seeking to balance theoretical rigor with practical implementation. Tatlock's recent publications demonstrate a strong focus on equality saturation techniques (egg framework), computational fabrication, and verified systems. His work increasingly integrates machine learning with program analysis and synthesis. There's a clear trajectory toward more practical applications of formal methods in real-world systems, particularly in numerical computing and fabrication. His research group has made significant contributions to e-graph technology, floating-point accuracy, and the verification of distributed systems. Distinguished Paper Award for Rewrite Rule Inference Using Equality Saturation (OOPSLA 2021) Spotlight Paper Award for Dynamic Tensor Rematerialization (ICLR 2021) Distinguished Paper Award for egg: Fast and Extensible Equality Saturation (POPL 2021) Faculty Appreciation for Career Education & Training (FACET) Award (2020) NSF CAREER Award: Verifying Distributed System Implementations (2017) Distinguished Paper Award for Automatically Improving Accuracy for Floating Point Expressions (PLDI 2015) Distinguished Teaching Award Nomination (2015) Professor Tatlock has advised numerous doctoral, master's, and undergraduate students who have gone on to prominent positions in academia and industry, including faculty positions at the University of Utah and Brown University, and leadership roles at companies like OctoML and Certora. His research is supported by significant funding from NSF, DARPA, DOE, and industry partners, totaling millions of dollars. Current grants include projects on computer-aided reasoning, formal verification, computational fabrication, and machine learning systems. He has served on numerous program committees and organized workshops including FPTalks, EGRAPHS, and PNW PLSE. As co-leader of the Programming Languages & Software Engineering (PLSE) research group and affiliate of the SAMPL Group at the University of Washington, Tatlock has developed influential tools including egg (an equality saturation toolkit), Carpentry Compiler, and Odyssey. His group actively collaborates with industry partners including Amazon Web Services, where he serves as an Amazon Scholar. The group has made significant contributions to equality saturation, floating-point accuracy, program synthesis, and computational fabrication, with applications ranging from compiler optimization to 3D printing.
Juan Solomon serves as an Associate Professor in the Department of Agriculture, Veterinary and Rangeland Sciences at the University of Nevada, Reno. His research lab operates from Building FA, Room 226d (Mail Stop 202), with direct contact via (775) 784-6888 or juansolomon@unr.edu. Education: B.S. in Agriculture, University of Guyana (2000) Graduate Diploma in Education-Science, University of Guyana (2005) M.S. in Agriculture, Mississippi State University (2010) Ph.D. in Agriculture, Mississippi State University (2013) Research Focus: Dr. Solomon's work centers on grassland ecology and sustainable pastoral systems for ruminant livestock, with emphasis on grazing management, forage quality evaluation, and drought-tolerant crop development. His research program investigates water use efficiency in semiarid forage systems, nutrient cycling dynamics, and climate-resilient crop screening—particularly for native and improved forages in arid western environments. Field studies often integrate ecosystem service valuation with practical livestock production metrics. Publication Trends: Recent work (2023-2025) demonstrates concentrated expertise in alternative forage systems, with 15 high-impact studies examining teff double-cropping, industrial hemp varietals, and cover crop nutrient cycling in Nevada's semiarid landscapes. Key methodological approaches include deficit irrigation analysis, nitrogen optimization trials, and biomass decomposition modeling—all targeting resource-efficient agricultural solutions for water-limited regions.
Kevin Chetty is a Professor of Wireless Sensing at University College London (UCL), leading the Urban Wireless Sensing Lab within the Department of Security and Crime Science. His work bridges radar technology, machine learning, and healthcare applications, with a focus on passive sensing systems. Education: PhD in Medical Ultrasound Physics (Imperial College London, 2004-2007), MRes in Image and X-Ray Physics (King's College London, 2003), BSc in Physics (King's College London, 1999) Research spans radar micro-Doppler signature analysis for human behavior classification, software-defined radar development, and integrated communication-sensing systems, with applications in security, healthcare, and smart environments. Recent work emphasizes privacy-preserving technologies and edge processing for real-time operations. Scientific awards include the 2022 IET Radar Systems Best Paper Runner-Up, 2022 IEEE Radar Conference 2nd Place, and 2015 National Instruments Engineering Impact Award. He has received funding from government and industry sectors in telecommunications, IoT, security, and healthcare. Teaching roles: Programme Convener for MSc Crime Science and IEP Minor in Crime and Security Engineering; Module Convener for Security Technologies and Crime Mapping & Spatial Analysis Consultancy: Huawei Technologies (2020-2022), Metropolitan Police Service (2019)
William R. Cluett is a Professor at the University of Toronto's Department of Chemical Engineering & Applied Chemistry within the Faculty of Applied Science and Engineering. He holds a B.Sc. from Queen’s University and a Ph.D. from the University of Alberta, and is a licensed Professional Engineer (P.Eng). Currently serving as Dean’s Advisor on Innovations in Undergraduate Education, Cluett bridges engineering principles with systems biology in his research. B.Sc., Queen’s University Ph.D., University of Alberta Cluett's research spans traditional process control and design, extending into systems biology where he collaborates with Professor Krishna Mahadevan. His work focuses on integrating engineering methodologies with biological systems, including multiscale modeling, dynamic metabolic engineering, and computational toxicology. His publications highlight trends in applying control theory to metabolic networks, developing algorithms for genome-scale modeling, and designing bistable cell factories. These contributions reflect interdisciplinary efforts between chemical engineering and computational biology. Scientific Awards & Recognitions: Fellow of Engineers Canada (2021) Medal for Distinction in Engineering Education (2021) OCUFA Teaching Award (2020) President’s Teaching Award (2018) Sustained Excellence in Teaching Award (2016) Bill Burgess Teacher of the Year Award (2014) Fellow, AAAS (2009) Fellow, Chemical Institute of Canada (1998) Syncrude Canada Innovation Award (1997) Cluett has contributed to major grants and collaborative projects in systems biology and metabolic engineering. He actively advises on undergraduate education innovations and maintains strong affiliations with the Department of Chemical Engineering & Applied Chemistry.
Jane Frankenberger is a Professor in the Department of Agricultural & Biological Engineering at Purdue University, specializing in environmental and natural resources engineering. She holds a B.A. in Physics from St. Olaf College, an M.S. in Agricultural Engineering from the University of Minnesota, and a Ph.D. from Cornell University. Her career includes eight years working in Africa (DRC and Senegal) and roles at the U.S. EPA and USDA. Currently, she serves as the Extension Water Quality Coordinator, leading projects on watershed management, drinking water protection, and TMDL compliance. Her research focuses on agricultural drainage, water quality, and climate change adaptation in drained landscapes. She teaches a graduate course on GIS applications and has contributed to over 100 peer-reviewed articles, emphasizing nutrient reduction strategies and drainage management. Education: B.A. Physics, St. Olaf College M.S. Agricultural Engineering, University of Minnesota Ph.D. Agricultural & Biological Engineering, Cornell University Key Roles: Extension Water Quality Coordinator Lead of water quality projects in Indiana Author of extension publications on watershed management Research Interests: Her work addresses watershed management, conservation drainage practices, and climate resilience in agricultural systems. She develops models to assess the effectiveness of conservation practices and integrates geospatial tools for decision-making. Recent studies focus on nitrate dynamics in tile-drained systems and climate change impacts on crop yields. Publications highlight trends in drainage water management, nutrient load reduction, and interdisciplinary approaches to sustainable agriculture. Her work bridges engineering, ecology, and policy to improve water resource management at local and global scales. Grants and collaborations include USDA-NIFA projects on transforming drainage research and international initiatives in Peru and Colombia. She emphasizes stakeholder engagement through workshops and outreach programs to enhance community-driven water management solutions.
Juan Wachs is the James H. and Barbara H. Greene Professor at the Edwardson School of Industrial Engineering, Purdue University. He holds a courtesy appointment in Biomedical Engineering and is an Adjunct Professor of Surgery at the IU School of Medicine. His research focuses on the intersection of robotics, human-AI interaction, and healthcare systems, with a particular emphasis on surgical robotics, assistive technologies, and telemedicine. Education: PhD in Industrial Engineering (Intelligent Systems), Ben-Gurion University of the Negev MSc in Industrial Engineering (Information Systems), Ben-Gurion University of the Negev BEdTech in Electrical Education, ORT Academic College in Jerusalem Research interests include surgical telementoring via augmented reality, gesture-based interfaces for sterile environments, and semi-autonomous robotic systems for healthcare. His ISAT Lab develops solutions like the STAR telementoring system and robotic assistants like Gesturenurse and FIST-D for explosive ordnance disposal. Recent work emphasizes AI-driven medical decision support (Trauma THOMPSON), burn wound characterization, and robotic ultrasound automation. Key contributions include over 100 publications in robotics, medical AI, and human factors. Scientific Awards: James H. and Barbara H. Greene Professorship Purdue University Faculty Scholar Advising & Labs: Guides over 10 PhD/Master’s students in robotics and healthcare tech ISAT Lab fosters interdisciplinary projects in surgical robotics, human-robot interaction, and accessibility
Jamal Lewis, Ph.D., is an Associate Professor in the J. Crayton Pruitt Family Department of Biomedical Engineering at the University of Florida, within the Herbert Wertheim College of Engineering. His Immuno-modulatory Biomaterials Laboratory focuses on developing biomaterial systems to manipulate the immune system for treating autoimmune diseases, allergies, and transplant rejection. His work integrates biomaterials engineering, drug delivery, and immunology. Education: Ph.D. in Biomedical Engineering, University of Florida (2012) M.S. in Biomedical Engineering, North Carolina State University (2007) B.S. in Chemical Engineering, Florida A&M University (2004) Research interests include immunoengineering, biomaterials design for controlled immune responses, and drug delivery systems targeting dendritic cells. His lab explores how mechanical forces and biochemical cues influence immune cell behavior, with applications in vaccines and immunotherapies. Recent publications emphasize biomaterial-based strategies for immunomodulation, including polymeric particle therapies and sustained-release systems. His work spans topics like lactate modulation of immune cells, fungal pathogen interactions, and anti-inflammatory treatments for osteoarthritis. Notable awards include the University of Florida 40 Under 40 (2021), recognition as a 1000 Inspiring Black Scientist in America (2021), and Biomaterial Science RSC Emerging Investigator (2021). He has contributed to over 50 publications and holds multiple patents related to immunomodulatory materials. Dr. Lewis leads interdisciplinary collaborations, bridging engineering and immunology. His lab focuses on translating biomaterial innovations into clinical applications for autoimmune diseases and regenerative medicine. Current projects include developing nanoparticle-based vaccines and microfluidic fabrication methods for precision medicine.
Professor Ding Jun is a faculty member in the Department of Materials Science and Engineering at the National University of Singapore's College of Engineering. His research spans additive manufacturing and nanomaterials with applications in energy, environment, and healthcare. Contact details include office location E2-03-17 and phone 65164317. His primary research interests include: Additive Manufacturing for multi-material and multi-functional devices Nanomaterials fabrication for energy harvesting/storage, water purification, and sensor development 3D printing of metals, ceramics, and graphene-based structures Analysis of his 10 most recent publications reveals strong focus on practical applications of 3D printing across energy storage (Li-O 2 batteries, water splitting), environmental remediation (air filters, water purification), and advanced manufacturing techniques (robocasting, metallization). Key technological themes include hierarchical porous structures, multi-material integration, and performance optimization at high current densities. No scientific awards were mentioned in the source material. Professor Ding teaches core materials engineering courses including MLE3203 Engineering Materials, MLE3111 Materials Properties & Processing Laboratory, MLE4212 Advanced Structural Materials, and MLE5301 Advanced Metallic and Ceramic Materials in Additive Manufacturing. No information on research grants or student supervision was provided. His work demonstrates strong integration between novel 3D printing methodologies and real-world environmental/energy applications, with particular emphasis on creating functional architectures for electrochemical systems and pollution control.
