Michael McAlpine is a Professor in the Mechanical Engineering department at the University of Minnesota . He also holds affiliations with the Biomedical Engineering and Electrical and Computer Engineering departments. His research focuses on 3D printing functional materials & devices , Nanoscale inks , Biomedical devices , Bioelectronics , and Flexible Microsystems . Research Interests : 3D Printing, Biomedical Engineering, Nanotechnology, Flexible Electronics, Microfluidics Labs : ME 361/363 Contact : mcalpine@umn.edu , (612) 626-3303, ME 117 Recent Research Trends include 3D Printed Biomedical Devices , Flexible Electronics , and Bioprinting Applications . His work spans from Spinal Organoid Formation to Programmable Drug Release Capsules . Scientific Award : Circulation Research 2020 Best Manuscript Award
James Briscoe is a Senior Group Leader at The Francis Crick Institute in London, where he leads a research group focused on developmental biology and morphogen signaling. He previously held positions at the Medical Research Council's National Institute for Medical Research, which later became part of the Francis Crick Institute. Education: BSc in Microbiology and Virology from the University of Warwick, UK PhD from Imperial Cancer Research Fund/King's College London Postdoctoral training at Columbia University with Thomas Jessell Dr. Briscoe's research focuses on the molecular and cellular mechanisms of graded signaling by morphogens and the role of transcriptional networks in cell fate specification. His laboratory employs a range of experimental and computational techniques using model systems including mouse and chick embryos and embryonic stem cells. His work has significant implications for understanding developmental processes and their relationship to disease. His recent publications demonstrate a continued focus on morphogen gradients, neural tube development, and computational approaches to understanding cell fate decisions. His research increasingly integrates single-cell technologies and computational modeling to unravel the complexities of developmental patterning. Scientific Awards and Honors: EMBO Young Investigator (2001) EMBO Gold Medal (2008) Elected to EMBO (2009) Fellow of the Academy of Medical Sciences (2019) Fellow of the Royal Society (2019) As Editor-in-Chief of the journal Development since 2018, Dr. Briscoe plays a significant role in shaping the field of developmental biology. His leadership extends to mentoring researchers and contributing to scientific policy discussions, as evidenced by his recent publication 'Science under siege: protecting scientific progress in turbulent times.' Dr. Briscoe's laboratory at the Crick Institute is well-equipped with access to advanced facilities including light microscopy, flow cytometry, genomics, and computational resources, enabling a multidisciplinary approach to developmental biology questions.
Dr. Tarek Sayed is a Professor at the University of British Columbia's Department of Civil Engineering within the Faculty of Applied Science. He specializes in Transportation Engineering, focusing on road safety analysis, traffic operations, and Intelligent Transportation Systems (ITS). He serves as the Director of the Bureau of Intelligent Transportation Systems and Freight Security (BITSAFS-Engineering) and Editor of the Canadian Journal of Civil Engineering . His research addresses three core areas: improving road safety evaluation techniques, enhancing safety through traffic operations and highway design analysis, and advancing ITS technologies. Notable contributions include frameworks for safety-audits of infrastructure projects like the Sea to Sky Highway and methodologies for evaluating transit signal priority systems in Vancouver. He has authored/co-authored over 250 publications and supervised 60 graduate students. Key Roles: Professor, BITSAFS Director, Journal Editor Awards: Tier 1 Canada Research Chair, Wilbur Smith Award, Sandford Fleming Award, Prince Michael International Road Safety Award Consulting: Global projects in traffic safety and ITS for agencies like ICBC, FHWA, and Ashghal His research integrates Bayesian statistical methods, extreme value theory, and machine learning to model traffic conflicts, pedestrian behavior, and safety interventions. Current projects include real-time safety optimization using autonomous vehicle data and analyzing shared space interactions between cyclists and pedestrians. Dr. Sayed chairs national/international committees, including the U.S. Transportation Research Board’s safety data committee. His work bridges academia and practice, influencing policy and infrastructure investment decisions worldwide.
Andrew M. Stuart is a Professor at the California Institute of Technology's Division of Engineering and Applied Science. His research bridges computational mathematics, machine learning, and physical modeling, focusing on inverse problems, partial differential equations, and multiscale systems. He has pioneered methodologies integrating Gaussian processes, Kalman inversion, and neural operators for scientific computing. His recent publications highlight innovations in competitive protein dimerization networks, nonlinear Bayesian inference, and operator learning. Articles span applications in materials science, geophysics, and biochemical signal processing, emphasizing data-driven discovery of differential equations and scalable algorithms for high-dimensional problems. Stuart's work addresses challenges in structural error modeling, uncertainty quantification, and graph-based learning, with implications for climate modeling and dynamical systems. Despite extensive contributions, the scraped data does not specify students, awards, or contact details.
Sumeet Kumar Gupta is an Associate Professor in the Department of Electrical and Computer Engineering at Purdue University. His academic career spans from his current role to a prior Assistant Professorship at Pennsylvania State University (2014-2017) and an engineering position at Qualcomm Inc. (2012-2014). He holds a PhD in Electrical and Computer Engineering from Purdue University (2012), an M.S. from the same institution (2008), and a B.Tech in Electrical Engineering from IIT Delhi (2006). B.Tech, Electrical Engineering, IIT Delhi (2006) M.S., Electrical and Computer Engineering, Purdue University (2008) PhD, Electrical and Computer Engineering, Purdue University (2012) Dr. Gupta's research focuses on neuromorphic computing, low power variation-aware VLSI design in emerging nanotechnologies, device-circuit co-design, and nano-scale device modeling/simulations. His work addresses challenges in ferroelectric materials, crossbar arrays for deep neural networks, and energy-efficient AI hardware. Recent publications (2025-2024) highlight trends in: Ferroelectric HfO2/HZO thin films Compute-in-memory architectures Variability/stochasticity analysis Machine learning for device optimization Interconnect resistance/temperature effects AI hardware fault tolerance Scientific Awards & Recognitions: DARPA Young Faculty Award (2016) Early Career Professorship, Penn State (2014) 6th TSMC Outstanding Student Research Bronze Award (2012) Magoon Award (Purdue) Outstanding Teaching Assistant Award (Purdue, 2007) Intel PhD Fellowship (2009) His professional journey includes academic appointments at Purdue University (2020-present, Associate Professor) and Pennsylvania State University (2014-2017, Assistant Professor) after industry experience at Qualcomm Inc. (2012-2014). He maintains IEEE and EDS membership while publishing over 100 refereed works.
Professor Mikko Haataja is a distinguished faculty member in the Department of Mechanical and Aerospace Engineering at Princeton University's School of Engineering and Applied Science. Holding a Ph.D. from McGill University (2003), he leads the Haataja Research Group focused on theoretical and computational approaches to materials science and physical biology. His office is located in D404C Engineering Quadrangle, and he serves as an advisor to numerous graduate students working at the intersection of physics, materials science, and biology. Professor Haataja's research spans multiple domains including theoretical and computational materials science, physics of materials, and physical biology. His work examines microstructure formation during solid-solid phase transformations and solidification, growth of electrodeposited thin films and quantum heterostructures, dynamics of driven interfaces with mobile impurities, recrystallization kinetics, cell signaling mechanisms, and the regulation & self-organization of 'lipid rafts' in plasma membranes. His group has pioneered concepts in 'dynamically programmable electromechanical 2D materials' and investigates phase separation phenomena in biological systems. His publication record demonstrates significant contributions across several key areas: intracellular phase transitions and biomolecular condensates, 2D transition metal dichalcogenide materials, lipid bilayer membrane physics, solid oxide fuel cells and batteries, and organic semiconductor thin films. His most recent work focuses on amyloid-like fibril formation, liquid-liquid phase separation in biological contexts, and defect engineering in 2D materials, reflecting his interdisciplinary approach that bridges physics, materials science, and biology. Professor Haataja actively mentors graduate students and postdoctoral researchers, with numerous co-authored publications indicating strong advising relationships. His research program encompasses multiple funded projects investigating materials for energy conversion and storage, intracellular organization mechanisms, and novel 2D material systems. The Haataja Group maintains strong collaborations with other Princeton researchers and external institutions, particularly in the fields of biophysics and advanced materials. The Haataja Group operates as a dynamic research laboratory employing computational modeling and theoretical approaches to address fundamental questions in materials science and biophysics. Their work spans from atomic-scale simulations to continuum modeling, with particular emphasis on phase-field crystal models, membrane biophysics, and 2D material systems. The group maintains specialized computational infrastructure for multiscale modeling and collaborates extensively with experimental groups to validate theoretical predictions.
Dr. Juan Alvaro Gallego is a Senior Lecturer (equivalent to Associate Professor) in the Department of Bioengineering at Imperial College London's Faculty of Engineering. He leads the Behaviour and Neural Dynamics Lab (Be.Neural), a multidisciplinary team focused on understanding neural mechanisms underlying motor control and spinal cord learning, with applications in developing neural interfaces to restore movement in conditions like Parkinson’s disease and paralysis. His research integrates behavioral experiments, neural recordings, data analysis, and computational models, funded by the ERC, EPSRC, ARIA, and industry partners like InBrain Neuroelectronics and Meta Reality Labs. Research interests include motor control, neural dynamics, and clinical applications of neural engineering. The lab collaborates across systems neuroscience and biomedical engineering, aiming to translate fundamental discoveries into therapeutic technologies. Key areas of focus include neural manifolds, synaptic plasticity in motor learning, and closed-loop neuroprosthetics for tremor management. Funding sources include the European Research Council, Engineering and Physical Sciences Research Council, and industry collaborations. The Be.Neural Lab’s work is showcased on their dedicated website (https://beneural.ic.ac.uk).
Dr. Vakil Takhaveev is a Lecturer at ETH Zurich's Department of Health Sciences and Technology, within the Institute of Food, Nutrition and Health. His research focuses on DNA damage mechanisms, aging, cancer, and neurodegeneration, with particular emphasis on developing novel DNA-damage-sequencing methods like click-code-seq and TRABI-Seq . He investigates anticancer drug action (e.g., trabectedin), aging clocks using DNA oxidation profiling, and stress-induced carcinogenesis. His work integrates multi-omics approaches and advanced sequencing techniques. Research Directions: Novel DNA-Damage-Sequencing Methods: Developed click-code-seq and TRABI-Seq for genomic mapping of DNA lesions and repair dynamics. Anticancer Drug Action: Explored mechanisms of trabectedin and other chemotherapeutics, linking DNA repair vulnerabilities to therapy resistance. Aging Clocks: Created DNA oxidation-based biomarkers for biological aging using genome-wide profiling in human and mouse models. Stress-Induced Pathologies: Studies metabolic and DNA damage links to early tumorigenesis and neurodegeneration. Awards & Recognition: 2025 Public Award Winner in PIs of Tomorrow competition 2024 ETH Zurich Career Seed Award Best presentation awards (Swiss Chemical Society, American Chemical Society) Grants & Collaborations: Impetus grants for aging clock development Swiss Chemical Society and American Chemical Society fellowships Labs & Teams: Leads research on DNA damage and aging mechanisms at ETH Zurich, collaborating with international groups in oncology and toxicology.
Cherie Kagan serves as the Stephen J. Angello Professor at the University of Pennsylvania, holding primary appointment in the Department of Electrical and Systems Engineering within the School of Engineering and Applied Science, with secondary appointments in Chemistry and Materials Science and Engineering. Her interdisciplinary research bridges chemistry, materials science, and electrical engineering to develop novel functional materials and devices that integrate optical, electrical, magnetic, mechanical, and thermal properties. Professor Kagan's research group combines the flexibility of chemical synthesis and bottom-up assembly with top-down fabrication techniques to design innovative nanomaterials. They employ advanced characterization methods including spatially- and temporally-resolved optical spectroscopies, AC/DC electrical measurements, electrochemistry, and various microscopy techniques. Her recent work demonstrates particular strength in colloidal nanocrystals and quantum dots for applications in quantum information science, sensing technologies, and energy conversion devices. Scientific Recognition Induction to the American Academy of Arts and Sciences (2025) IEEE Fellow (2024) for contributions to colloidal nanocrystals and their integration in optical and electronic devices George H. Heilmeier Faculty Award for Excellence in Engineering (2024-25) Humboldt Research Award Fellowship (2024) MRS Fellow for distinguished research accomplishments in materials science National Academy of Inventors Fellow for innovation in nanomaterials Professor Kagan actively mentors PhD students across multiple departments, with recent graduates including Gary Chen, Chavez Lawrence, and Shobhita Kramadhati. Her research is supported by significant grants including the IoT4Ag project focused on precision agriculture sensing systems. She maintains active collaborations with Nobel Laureate Moungi Bawendi, her former PhD advisor at MIT, and works with institutions including the Max-Planck Institute for Chemical Physics of Solids through her Humboldt Fellowship. The Kagan Research Group operates comprehensive facilities for nanomaterials synthesis, characterization, and device fabrication, combining expertise across chemistry, physics, and engineering disciplines. Current team members include PhD students from Electrical and Systems Engineering and Chemistry departments, postdoctoral researchers like Anamika Singh and Akhila Mallavarapu, and undergraduate researchers supported through programs like CURF.
Thomas Michaels is an Assistant Professor at the Department of Biology, ETH Zürich, leading the Michaels Group . His research focuses on theoretical models of biomolecular condensates and protein aggregation in biological systems. Research Themes : Protein aggregation, liquid-liquid phase separation, membrane biophysics, and the role of condensates in neurodegenerative diseases like Alzheimer’s and Parkinson’s. Collaborative Approach : Integrates theoretical physics, control theory, and computational biology with experimental validation to design therapeutic strategies. Recent Publications highlight his work on amyloid formation mechanisms, lipid interactions, and phase-separated compartments as biochemical reactors. His group trains PhD students in systems biology and biocondensate physics.
Wengong Jin is an Assistant Professor at the Khoury College of Computer Sciences, Northeastern University, and a visiting research scientist at the Eric and Wendy Schmidt Center at the Broad Institute. He holds a PhD from MIT CSAIL, advised by Prof. Regina Barzilay and Prof. Tommi Jaakkola. Research Interests: His work focuses on geometric and generative AI models for drug discovery, biology, and chemical engineering. Key areas include equivariant neural networks (e.g., FAFormer), diffusion models for binding energy prediction, antibody/enzyme design (RefineGNN, SurfPro), and molecular design through graph neural networks (Junction Tree VAE). He also explores domain generalization and systems for autonomous molecular discovery. Publications: His research has been published in top venues like NeurIPS, ICLR, ICML, Nature, Science, and Cell. Recent breakthroughs include discovering novel antibiotics using explainable AI and designing synergistic drug combinations for cancer treatment. Awards: He has received the BroadIgnite Award, Dimitris N. Chorafas Prize, and MIT EECS Outstanding Thesis Award for his contributions to computational biology and AI-driven drug discovery. Teaching: Currently teaches a PhD seminar on AI for Science, focusing on integrating machine learning into scientific discovery processes.
Dr. Jung-Fu Lin is a Professor of Earth and Planetary Sciences at the Jackson School of Geosciences, University of Texas at Austin, holding the Dave P. Carlton Centennial Professorship. His research focuses on understanding planetary interiors through high-pressure experiments, particularly using diamond anvil cells and synchrotron facilities. Key areas include mineral physics, Earth's core dynamics, and the role of water in mantle processes. Expertise: High-pressure mineral physics, X-ray spectroscopy, and planetary materials science. Current projects: Investigating iron alloys in Earth's core, thermal conductivity of mantle minerals, and carbon storage mechanisms. Research highlights include discoveries on iron spin transitions, elasticity of bridgmanite, and Martian core dynamics. Awards include the NSF CAREER Award and Fulbright Scholarship. Lin supervises graduate students in experimental petrology and mentors postdocs globally. Teaches courses on Earth materials and mineral physics. Active in international collaborations, including with Okayama University (Japan) and Adam Mickiewicz University (Poland). His lab develops advanced laser heating systems and Raman spectroscopy tools for high-pressure studies.
Alexander Mathis is an Assistant Professor at the École Polytechnique Fédérale de Lausanne (EPFL) in the Brain Mind Institute (School of Life Sciences). His research bridges computational neuroscience and machine learning to decode sensorimotor behaviors and develop AI tools for behavioral analysis. Pure Mathematics MSc, Ludwig Maximilians University Munich PhD in Computational Neuroscience, Ludwig Maximilians University Munich His work focuses on understanding how the brain generates behavior through computational models and algorithms. Key contributions include the DeepLabCut toolbox, hBehaveMAE , and other frameworks for pose estimation, action segmentation, and brain-inspired AI. His group also explores proprioception, motor control, and neural coding theories. Recent publications include unsupervised hierarchical behavior modeling via masked autoencoders (ECCV 2024), synthetic basketball benchmarks (Shot7M2), and extensions of BABEL into hBABEL. These works highlight his interest in temporal hierarchies in behavior and scalable AI solutions for neuroscience. Scientific Honors Robert Bing Prize (2024) Eric Kandel Young Neuroscientists Prize (2023) Frontiers of Science Award (2023) Marie Skłodowska-Curie Postdoctoral Fellowship Studienstiftung des deutschen Volkes scholarship He advises PhD candidates in neuroscience and life sciences, leads courses on brain-like computation and software engineering for life sciences , and collaborates across AI4Science initiatives. His group actively participates in competitions, such as NeurIPS' MyoChallenge, where brain-inspired reinforcement learning algorithms have won awards.
Rainer Haag is a Professor at the Department of Chemistry, Freie Universität Berlin, leading the Haag Group in the Institute of Chemistry and Biochemistry. His research focuses on biodegradable and sustainable materials, dynamic hydrogels, and polymeric nanosystems for biomedical applications. Department of Chemistry, Freie Universität Berlin Member of SFB 1449: Dynamic Hydrogels at Biointerfaces Collaborator in the StemGel startup project Co-founder of CSR|Berlin interdisciplinary research institute Research Interests: Development of stimuli-responsive polymers, multivalent virus inhibitors, and functional biointerfaces. Key projects include: Antiviral coatings using heteromultivalent polymers Thermoresponsive hydrogels for stem cell expansion Graphene derivatives for bacterial capture and disinfection Lignin upcycling for sustainable resin materials Supramolecular nanosystems for drug delivery Publication Trends highlight interdisciplinary work in polymer chemistry, nanotechnology, and biomedical applications. Recent articles focus on: 2D polyglycerols for virus interactions Redox-responsive nanogels Mucus-inspired adhesive hydrogels Tumor-targeting micelles Bacterial disinfection using graphene composites Labs & Collaborations include the Polymeric and Supramolecular Nanosystems subgroup, the Dynamic Hydrogels and Biointerfaces team, and partnerships with MIT in developing bioinspired adhesives. His group contributes to DFG-funded SFB 1449 and CSR|Berlin initiatives.
Andrew Spakowitz is a Professor of Chemical Engineering, Materials Science and Engineering, and by courtesy, Applied Physics and Chemistry at Stanford University. He currently serves as the Senior Associate Dean for Research and Faculty Affairs and holds the Tang Family Foundation Chair of the Department of Chemical Engineering. His academic career at Stanford spans from Assistant Professor (2006-2014) to Associate Professor (2014-2020) and now Professor since 2020. Dr. Spakowitz earned his PhD in 2004, MS in 2001 from the California Institute of Technology, and his BS in Chemical Engineering from the University of Wisconsin, Madison in 1999. He completed postdoctoral training in Molecular and Cell Biology and Biophysics at UC Berkeley from 2004-2006. His research focuses on theoretical and computational approaches to understanding biological processes and complex materials. The Spakowitz lab addresses fundamental chemical and physical phenomena through four main research themes: chromosomal organization and dynamics, protein self-assembly, polymer membranes, and charge transport in conducting polymers. His group employs diverse theoretical and computational methods including analytical theory of semiflexible polymers, polymer field theory, continuum elastic mechanics, Brownian dynamics simulation, equilibrium and dynamic Monte Carlo simulations, and reaction-diffusion modeling. Analysis of his recent publications reveals a strong emphasis on epigenetics and chromatin dynamics, with significant work on DNA methylation patterns, nucleosome clustering, and chromosome organization. His research also extends to polymer physics applications in biological systems, particularly in respiratory diseases, water purification membranes, and bacterial phage interactions with human mucus. Tang Family Foundation Chair of the Department of Chemical Engineering Professor Spakowitz mentors several graduate students and postdoctoral scholars in the Chemical Engineering and Materials Science departments. His lab members work on diverse projects spanning from chromatin dynamics to polymer membranes for water purification. He teaches multiple courses including CHEMENG 120B (Energy and Mass Transport), CHEMENG 340 (Molecular Thermodynamics), CHEMENG 466 (Polymer Physics), and CHEMENG 467 (Physics of Biomacromolecules). The Spakowitz lab operates from Clark S295 at Stanford University, conducting theoretical and computational research that bridges chemistry, physics, biology, and engineering disciplines to address complex problems across multiple length and time scales.
