Find Academic Supervisors

Jennifer RossView profile

Professor

• Biophysics
• Soft Matter Physics
• Biological Condensed Matter Physics
• +5 more

Jennifer Ross is a Professor of Physics and Associate Dean for Creativity, Scholarship, and Research at the College of Arts & Sciences of Syracuse University . As a biophysicist, she investigates how cells organize their interiors through self-assembly and active matter principles, focusing on the microtubule cytoskeleton and enzyme-driven systems using single-molecule imaging . Her research bridges fundamental physics with biological organization . Education: Ph.D. in Physics, University of California, Santa Barbara (2004) B.A. in Physics and Mathematics, Wellesley College (2000) Research Focus: Self-organization of cytoskeletal networks Active matter dynamics in biological systems Motor protein interactions and cargo transport Programming circadian materials via biomolecular systems Microtubule severing mechanisms Recent Article Trends: 2025 studies explore kinesin-driven cytoskeletal composites, urease-DNA origami engineering, and crosslinker-regulated network mechanics 2024-2023 work examines ionic strength effects on microtubules, programmable circadian materials, and motor-cargo dynamics Earlier studies analyze actin-microtubule composites, liquid crystal phase control, and severing enzyme mechanisms Scientific Awards: Fellow of the American Physical Society (APS) and American Association for the Advancement of Science (AAAS) Cottrell Scholar (2025) and STAR Award Margaret Oakley Dayhoff Award (Biophysical Society) Grants: Leads multiple NSF, Sloan Foundation, and Research Corporation grants for projects like "Energy and Entropy Sculpting" and "Explorations: SUPER-Tech SHIP" . Teaching: Offers courses in experimental physics, microscopy, and biophysics, including a globally adopted hands-on microscope-building curriculum. Lab: Heads the Bio-Active Matter Lab , studying how cells harness noisy systems for autonomous organization.

Farzad MashayekView profile

Professor

• Turbulent Reacting Flow
• Plasma Flow
• Electrostatic Atomization
• +9 more

Farzad Mashayek is a Professor and Department Head of Aerospace and Mechanical Engineering at the University of Arizona, College of Engineering. He is a member of the Graduate Faculty and leads the Computational Multiphase Transport Laboratory. His research integrates high-fidelity simulations, machine learning, and experimental validation across diverse domains in fluid dynamics and energy systems. Educational Background: PhD in Mechanical Engineering, State University of New York at Buffalo, Buffalo, NY MS in Mechanical Engineering, Sharif University of Technology, Tehran, Iran BS in Mechanical Engineering, Sharif University of Technology, Tehran, Iran His research interests include turbulent reacting flows, plasma dynamics, electrostatic atomization, solid-ion and lithium batteries, computational fluid dynamics, and machine learning applications in engineering. He employs high-order spectral element methods, phase-field modeling, and deep neural networks to study complex multiphysics phenomena such as drop impact, battery degradation, and turbulence modeling. The recent publications reflect a strong trend toward integrating machine learning with multiphysics simulations, particularly in battery safety (thermal runaway prediction), materials characterization (STEM image analysis), and fluid dynamics (modal analysis of turbulence). His work often involves collaboration with experimental groups to validate models, especially in dental aerosol suppression and electrohydrodynamics. Scientific Awards: Sustained Service Award, American Institute of Aeronautics and Astronautics (AIAA), Spring 2022 Best Presentation Award, The 20th International Conference on Computational Mathematics, Parallel and Distributed Computing, Summer I 2018 Dr. Mashayek has secured funding from NSF (GOALI program) for controlled coating via charged droplet deposition. He advises graduate students and postdoctoral researchers in computational mechanics and energy systems, fostering interdisciplinary research. He has contributed to engineering education, particularly during the pandemic, with active learning strategies in online instruction. He leads a dynamic research team focused on advancing simulation tools and applying them to real-world challenges in energy, manufacturing, and public health.

Andrew HolleView profile

Assistant Professor

• Mechanobiology
• Stem Cell Differentiation
• Cancer Mechanobiology
• +3 more

Andrew Holle is an Assistant Professor at the Mechanobiology Institute , National University of Singapore , where he leads the Confinement Mechanobiology Lab within the Department of Biomedical Engineering . His work spans mechanobiology, stem cell differentiation, cancer mechanobiology, and microfluidics, with a focus on understanding how physical confinement influences cellular behavior. Education: B.S.E. in Bioengineering (Minor in Statistics), Arizona State University (2008) Ph.D. in Bioengineering, University of California San Diego (2013) Research in the Confinement Mechanobiology Lab centers on the hypothesis that stem cell differentiation is driven by mechanical cues during migration through confined extracellular matrix (ECM) environments. The lab develops microfluidic systems to mimic ECM confinement and studies its impact on osteogenic differentiation , cancer cell migration , and cellular condensates . Recent publications highlight interdisciplinary approaches combining mechanobiology , nanotechnology , and microfluidics to explore nuclear morphological changes, volume regulation, and ligand signaling in confined cellular environments. Laboratory Members: Privita Edwina (Research Fellow) Vaishnavi Rangaraj (Research Assistant) Sriram Muthukumar (Research Fellow) Chang Ye Ji (PhD Student) Gao Xu (PhD Student) Lim Yuan Bin (PhD Student) Shinny Sunny (PhD Student) Lee Jia Wen Nicole (PhD Student) Li Yixuan (PhD Student)

• Statistical Reinforcement Learning
• Mobile Health (mHealth)
• Clinical Trials
• +3 more

Susan A. Murphy is the Mallinckrodt Professor of Statistics and of Computer Science at Harvard University, with affiliations to the Kempner Institute. She leads the Statistical Reinforcement Learning Lab, focusing on developing algorithms to inform sequential decision-making in health, particularly for Just-in-Time Adaptive Interventions (JITAIs) and micro-randomized trials (MRTs). Her work is funded by NIH institutes, including NIDA, NHLBI, and NIBIB. Dr. Murphy has been awarded a MacArthur Fellowship (2013) and is a member of the National Academy of Medicine (2014) and the National Academy of Sciences (2016). Her research integrates statistical methods with computer science techniques to optimize mobile health interventions. She collaborates with d3Lab and mDOT on projects like HeartSteps and Sense2Stop, evaluating real-time treatment policies. Notable contributions include advancing MRT designs, sample size calculations, and reinforcement learning algorithms for personalized healthcare. Dr. Murphy advises a large team of postdocs, graduate students, and undergraduates, many of whom hold academic and industry roles globally. She emphasizes engagement in digital interventions, balancing personalization with ethical considerations. Her lab’s work spans algorithm development, clinical trial design, and causal inference, aiming to improve health outcomes through adaptive interventions.

Qian YangView profile

Assistant Professor

• Human-AI Interaction
• User Experience (UX) Design
• Healthcare Technology
• +4 more

Qian Yang is an Assistant Professor in Information Science at Cornell University, with a faculty appointment in Computer Science. Her research focuses on human-AI interaction, designing AI applications for healthcare, autonomous systems, and UX design. She holds a PhD in Human-Computer Interaction from Carnegie Mellon University and has industry experience in design consultancy (2007–2014). Yang co-directs the Cornell Digital and AI Literacy Initiative and is a Senior Fellow at the Cornell Brooks Tech Policy Institute. Her work emphasizes bridging AI technologies with societal needs, supported by awards like the Schmidt Futures AI2050 Fellowship. She leads the DesignAI research group, focusing on AI-driven design methods and tools for practitioners. Education: PhD in HCI (Carnegie Mellon), M.S. in HCI (CMU), M.Des in Design, B.Eng in Industrial Design (Shanghai Jiao Tong University). Research interests include AI ethics, healthcare decision support systems, and context-aware mobile services. Notable contributions include: Developing AI systems for life-critical healthcare decisions (e.g., artificial heart implants) Innovating UX design methods for integrating AI into practice Advancing human-centered AI evaluation frameworks Awards include the SIGCHI Outstanding Dissertation Award and AI2050 Fellowship. She actively collaborates across disciplines, with work published in top HCI venues like CHI and ACM Transactions.

Ying LuView profile

Associate Professor

• Quantitative Methodology
• Demography
• Health Sciences
• +3 more

Ying Lu is an Associate Professor at the Department of Applied Statistics, Social Science, and Humanities within the Steinhardt School of Culture, Education, and Human Development at New York University. She holds dual PhDs in Public Policy and Demography from Princeton University (2005) and in Statistics from the University of North Carolina at Chapel Hill (2009). Before joining NYU, she was an Assistant Professor at the University of Colorado Boulder, affiliated with the Institute of Behavioral Science. Her research focuses on quantitative methodology in social and behavioral sciences, including applications in demography, health, and political behavior, as well as statistical methods like model selection and hypothesis testing for high-dimensional data. Her interdisciplinary work bridges statistical rigor with real-world societal challenges. Recent articles highlight her contributions to areas such as employee outcomes in HRM, gut microbiota-cardiometabolic disease links, and innovative clinical trial designs. She has also explored topics in food science, environmental catalysis, and sustainable development policy. Ying Lu’s academic journey reflects a commitment to advancing statistical methodologies while addressing pressing issues in health, policy, and environmental science. She has advised numerous projects but no specific students are listed in the provided texts.

Alison Slinskey LeggView profile

Teaching Professor

• STEM Education
• Equity in Education
• Improvement Science
• +3 more

Alison Slinskey Legg, Ph.D., is a Teaching Professor and Center Director at the University of Pittsburgh, specializing in expanding access to STEM education through large-scale interventions. She founded the Broadening Equity in STEM Center, a collective impact initiative bridging academic and professional sectors, and serves as Principal Investigator for the $10 million NSF INCLUDES ALLIANCE: STEM PUSH Network. Developed national network of pre-college STEM programs using improvement science Pioneered accreditation model for out-of-school STEM programs Created cross-program research on STEM student enrollment trends Her outreach initiatives include Pitt-Kits curriculum, mobile laboratories serving 10,000+ students annually, and teacher professional development programs. She co-created the PBS pilot Science Mission 101 , winning Pennsylvania Excellence in Broadcasting Award (2010). Recent research focuses on racial equity in STEM spaces, program quality standards, and pandemic-era educational continuity. Her work spans STEM education, equity frameworks, and interdisciplinary curriculum development. Notable awards include: Pennsylvania Excellence in Broadcasting Award for Children’s Programming (2010) Dr. Legg’s lab initiatives include the STEM PUSH Network, Gene Team summer research program, and a tri-state mobile laboratory network. She advocates for evidence-based practices in pre-college STEM education through scholarly publications and practitioner collaborations.

Donald RioView profile

Professor

• Nucleic Acid Transactions
• Transposable Elements
• RNA Binding Proteins
• +3 more

Donald Rio holds the Richard and Rhoda Goldman Distinguished Chair in the Biological Sciences and is a Professor of Biochemistry, Biophysics, and Structural Biology. He is affiliated with the Division of Biochemistry and Molecular Biology and the Center for Integrative Genetics. His lab focuses on nucleic acid transactions, including transposable element mobilization (P elements) and RNA binding protein mechanisms controlling alternative splicing. Research highlights include studies on THAP9 proteins in humans/zebrafish, cryo-EM structural analysis of transposase-DNA complexes, and splicing regulation in neurodegenerative diseases like ALS and Parkinson’s. His work combines biochemical, genetic, and computational approaches, including the development of the Junction Usage Model (JUM) for splicing analysis. Research interests span transposition mechanisms linked to HIV integration, immune system recombination, and evolutionary genome dynamics. His team investigates how RNA binding proteins like hnRNPA1 influence splicing in disease contexts, with projects involving CRISPR-based models and patient RNA-seq data analysis. Collaborations include studies on splicing accuracy across tissues and age, and the impact of splicing defects in neurodegenerative disorders. Key awards include the Goldman Chair. His lab’s contributions bridge fundamental molecular mechanisms with translational applications in genetic disease modeling and drug discovery. Recent work focuses on isogenic stem cell models (iSCORE-PD) for Parkinson’s research and structural biology insights into transposase function. Grants and projects involve NIH funding for ALS splicing studies and collaborations with institutions like the Buck Institute. His lab actively publishes in top journals such as Genome Research , PNAS , and Nature , with a strong emphasis on cryo-EM and bioinformatic methods.

• Planarian Regeneration
• Stem Cell Biology
• Wnt Signaling Pathways
• +6 more

Christian P Petersen, PhD is a Professor in the Department of Cell and Developmental Biology at the Weinberg College of Arts and Sciences , Northwestern University Feinberg School of Medicine. His research focuses on molecular mechanisms underlying regeneration in planarians and other organisms. PhD: MIT (2006) Research Interests: Planarian regeneration and tissue patterning Wnt signaling pathway regulation Stem cell biology in regenerative contexts Neurogenesis and injury response Molecular mechanisms of tissue repair Affiliations: Center for Reproductive Science Robert H. Lurie Comprehensive Cancer Center

Joshua J. CoonView profile

Professor

• Bioanalytical Chemistry
• Mass Spectrometry
• Proteomics
• +4 more

Joshua J. Coon is a Professor at the University of Wisconsin-Madison with appointments in the Department of Biomolecular Chemistry and the Department of Chemistry. He leads the Coon Group, focusing on advancing mass spectrometry technologies for proteomics, metabolomics, and lipidomics. His research addresses fundamental questions in cell biology, including stem cell differentiation, epigenetic regulation, and cancer biomarker discovery. Affiliations : Director of the NIGMS National Center for Quantitative Biology of Complex Systems. Research Emphasis : Instrumentation development, data analysis software, ion chemistry, and biological applications of proteomics. Laboratory : Located in the Genome Center of Wisconsin with a dozen hybrid mass spectrometers, including Orbitrap systems. Collaborations : Long-term partnership with Thermo Fisher Scientific and the Wisconsin Alumni Research Foundation (WARF) for technology commercialization. Training : Mentored 27 Ph.D. students since 2009, emphasizing interdisciplinary research and professional development.

Facundo M. FernandezView profile

Professor

• Analytical Chemistry
• Bioanalytical Mass Spectrometry
• Ambient Sampling/Ionization
• +4 more

Facundo M. Fernandez is a Regents' Professor and Vasser-Woolley Chair in Bioanalytical Chemistry at the Georgia Institute of Technology, where he leads the Fernandez Research Group within the School of Chemistry and Biochemistry in the College of Sciences. His research spans multiple cutting-edge areas of analytical chemistry with significant applications in medicine, forensics, and basic science. Dr. Fernandez earned his M.Sc. in Chemistry (1996) and Ph.D. in Analytical Spectrometry/Metallomics (1999) from the Facultad de Ciencias Exactas y Naturales at Buenos Aires University, Argentina. His research program focuses on Bioanalytical Mass Spectrometry with particular emphasis on Ambient Sampling/Ionization & Molecular Imaging, Ion Mobility Spectrometry, Metabolomics, and Pharmaceutical Forensics. His work has pioneered new approaches in ambient ionization techniques that enable direct analysis of complex samples without extensive preparation. His recent publications reveal a strong trend toward spatial metabolomics, particularly in traumatic brain injury and ovarian cancer research, with increasing integration of machine learning approaches for data analysis. His work also extends to pharmaceutical quality control, exercise physiology through the MoTrPAC consortium, and prebiotic chemistry investigations. The interdisciplinary nature of his research is evident in collaborations across Georgia Tech's campus and with external institutions. NSF CAREER Award (2007) 3M Non-tenured Faculty Award (2008) CETL/BP Junior Faculty Teaching Excellence Award (2009) Ron A. Hites Award for Outstanding Research Publication (2010) Sigma Xi (GT Chapter) Best Faculty Paper Award (2010) Vasser-Wooley Faculty Fellow (2012) Dr. Fernandez has secured significant funding for his research, including NSF CAREER support, and leads projects related to metabolomics for ovarian cancer detection, pharmaceutical forensics through the CODFIN network, and participation in the large-scale Molecular Transducers of Physical Activity Consortium (MoTrPAC). His laboratory develops advanced instrumentation for mass spectrometry applications and maintains strong collaborations with the Integrated Cancer Research Center, the College of Computing, and the Center for Chemical Evolution at Georgia Tech.

Fahim KhanView profile

Assistant Professor

• Computer Graphics
• Data Visualization
• Computer Vision
• +5 more

Fahim Khan is an Assistant Professor in the Department of Computer Science and Software Engineering at California Polytechnic State University’s College of Engineering. He specializes in computer graphics, data visualization, computer vision, and machine learning, with a focus on applying these technologies to education, environmental monitoring, and public safety. His research emphasizes making complex data accessible through advanced tools, bridging the gap between raw data and actionable insights. He is deeply committed to inclusive education and fostering interdisciplinary collaboration. His work often integrates citizen science initiatives, empowering communities through mobile applications and machine learning. Notable projects include real-time rip current detection systems and platforms for high school students to engage in research. Khan advocates for equity in technology, designing inclusive learning environments and promoting diversity in STEM. He actively supports the university’s Learn by Doing philosophy, blending practical education with theoretical rigor. Professionally, he contributes to coastal observation networks and autonomous vehicle datasets while maintaining a balance through outdoor activities like exploring Pismo Beach. His research trends reflect a strong focus on mobile computing, environmental applications, and education technology, with recent efforts emphasizing citizen science and data-driven solutions. While no formal grants or advising records are detailed, his projects implicitly involve collaborative efforts. He is affiliated with labs focused on environmental monitoring and mobile technology development, though specific lab names are not mentioned.

• Biomaterials
• Regenerative Medicine
• Tissue Engineering
• +4 more

Prof. Elisabeth Engel López leads the Biomaterials for Regenerative Therapies group at the Institute for Bioengineering of Catalonia (IBEC) and serves as a Professor at the Technical University of Catalonia. With over 80 publications in JCR journals, her work focuses on designing biomaterials and scaffolds for in vitro/in vivo regenerative medicine, emphasizing cellular response mechanisms and translational applications. Developing lactate-releasing systems for metabolic modulation Advancing 3D bioprinting for tissue-specific models Engineering angiogenic and osteogenic biomaterials Her research bridges fundamental studies with industrial partnerships, including pharmaceutical and biomedical device companies, and contributes to European collaborative projects. She received the Barcelona City Award for technological research and has delivered numerous invited lectures. Her group explores substrate stiffness, ion release, and microenvironmental cues to control cell behavior in cardiac, neural, and bone regeneration contexts.

• Microfluidics
• Cell Biology
• Biophysics
• +4 more

Dr. Sung Sik Lee serves as a Lecturer in the Department of Materials at ETH Zurich, Switzerland. Affiliated with ScopeM (Scientific Center for Optical and Electron Microscopy), he develops microfluidic platforms for real-time cellular analysis at the HPM C 52.2 facility (Otto-Stern-Weg 3, Zürich). His research bridges engineering and biology to investigate cellular responses to mechanical and chemical stimuli. His primary research domains include: Microfluidics : Design of microfabricated devices for cell stretching, particle separation, and dynamic stimulation Cellular Aging : Mechanisms of chromosome loss and nuclear pore complex reorganization in yeast models Nanotoxicology : Impact of nanoplastics on macrophage inflammation and intestinal barrier integrity Advanced Imaging : Application of holotomography and Raman spectroscopy for label-free cellular analysis His work consistently targets translational applications in disease modeling and diagnostics. Analysis of his 50+ publications reveals strong interdisciplinary integration, particularly the convergence of machine learning with microscopy (e.g., automated vacuole quantification in yeast) and the development of open-access resources like MicrobioRaman. Recent trends emphasize nanoparticle-cell interactions and microfluidic solutions for inflammatory conditions including IBD and acute kidney injury. Dr. Lee actively contributes to ScopeM's mission of advancing microscopy techniques, maintaining collaborations across ETH Zurich's research ecosystem. His laboratory focuses on microfluidic device fabrication, cellular mechanotransduction studies, and biophysical characterization of particles and cells, with ongoing projects extending through 2025.

G. Petur NielsenView profile

Professor

• Bone and Soft Tissue Pathology
• Molecular Genetics of Bone Tumors
• Chordoma Research
• +5 more

G. Petur Nielsen, MD is a Professor of Pathology at Harvard Medical School and serves as Subspecialty Head, Bone and Soft Tissue Pathology at Massachusetts General Hospital . With a clinical focus on bone and soft tissue tumors, his expertise spans diagnostic pathology, molecular genetics of neoplasms, and ancillary testing applications. Research interests center on Pathology and biology of bone/soft tissue tumors Molecular genetics of bone and soft tissue neoplasms Chordoma and sarcoma research Epithelioid vascular tumor differentiation Mesenchymal tumors of the female genital tract His work includes landmark studies on tumor misdiagnosis rates, immunohistochemical profiling, and genomic analysis of chordomas. Scientific contributions appear in leading journals like Nature and American Journal of Surgical Pathology , with major emphasis on Molecular tumor classification Mutational signature analysis Translational oncology Diagnostic accuracy improvement Genomic instability mechanisms