Dr. Yar Muhammad is a Principal Lecturer in Computer Science at the University of Hertfordshire's School of Physics, Engineering & Computer Science. His research develops Brain-Computer Interface applications using AI/ML techniques for healthcare. He holds a PhD in ICT (Tallinn University of Technology) and dual master's degrees. Research Leadership: Supervised PhD students: Nimra Memon (fault-tolerance in web services), Dmytro Zabolotnii (agent behavior prediction), Mahir Gulzar (context-aware modeling) Accepts self-funded PhD candidates in BCI/AI applications Awards: Young Investigator Award (Springer/IFMBE, 2014) Best Paper Award Runner-up (26th ISSC 2015) Professional Recognition: Fellow of Higher Education Academy IEEE Senior Member Editorial board member for multiple journals
Wen Xue is a Professor at UMass Chan Medical School, affiliated with the RNA Therapeutics Institute within the T.H. Chan School of Medicine. She holds multiple additional roles across departments such as the Program in Molecular Medicine, Cancer Biology, and Biochemistry and Molecular Biotechnology at the Morningside Graduate School of Biomedical Sciences. Her research focuses on developing genetic models for liver and lung cancer using CRISPR/Cas9 and RNAi tools. Key areas include CRISPR-mediated genome editing for cancer gene discovery, KRAS inhibition mechanisms, and miRNA networks in lung cancer. She has secured grants from NIH, American Cancer Society, and others. Awards include the NIH Director’s New Innovator Award and Lung Cancer Research Foundation grants. Her lab actively recruits postdoctoral researchers and offers rotation projects in CRISPR technology and cancer biology. Education: B.S. and M.S. in Biochemistry from Nanjing University; Ph.D. in Biochemistry from State University of New York, Stony Brook. Research Interests: Wen Xue’s lab employs CRISPR tools to accelerate cancer gene validation and therapeutic target identification. Projects include: CRISPR-based liver cancer gene correction and oncogene deletion studies. Investigating KRAS inhibition resistance via RNAi and CRISPR in lung cancer models. Characterizing miRNA networks using TCGA data to identify therapeutic miRNA candidates. Her work bridges functional genomics with precision medicine, emphasizing in vivo and in vitro platforms. Publications: Over 100 peer-reviewed articles, including high-impact studies on CRISPR applications in gene therapy and cancer modeling. Recent work explores prime editing, base editing, and viral/non-viral delivery systems for lung diseases. Grants & Awards: NIH grants (P01HL131471, DP2HL137167), American Cancer Society (RSG-16-093), and industry partnerships like the Cystic Fibrosis Foundation. Collaborations include projects on CFTR mutation repair and AAV vector development. Labs/Teams: Xue Lab focuses on cancer genetics and gene editing, with interdisciplinary collaborations in molecular medicine and bioengineering. Ongoing projects aim to translate CRISPR-based therapies into clinical applications.
Prashant Mali is a Professor in the Department of Bioengineering at the University of California, San Diego . His research bridges genome engineering, RNA biology, and biomedical applications, with a focus on CRISPR-Cas systems and ADAR-mediated RNA editing. Education : Ph.D. in Bioengineering Key Affiliations : UC San Diego, Altman Clinical and Translational Research Institute Dr. Mali's work centers on CRISPR-Cas9 technology , RNA editing , and human pluripotent stem cells . His lab develops tools for programmable gene regulation, synthetic lethal screens, and metabolic pathway analysis in disease contexts. Recent publications highlight innovations in circular RNA engineering , ADAR activity mapping , and metabolic reprogramming in cancer . His team employs multi-omics approaches and in vivo models to translate genome editing into clinical applications. Students and Collaborators Current Lab Members : Sami Nourreddine (Postdoc), Amir Dailamy (Graduate), Andrew Portell (Graduate), Michael Tong (Graduate) Alumni : Kyle Ford (PhD 2022), Nathan Palmer (PhD 2022), Udit Parekh (PhD 2021) Research Themes CRISPR Screens : Synthetic lethal interactions, oncogenic pathways, metabolic vulnerabilities RNA Editing : ADAR engineering, circular guide RNAs, clinical translation Tissue Engineering : Vascularized organoids, cardiac maturation, ex vivo models
Abraham Silberschatz is the Sidney J. Weinberg Professor of Computer Science at Yale University. He previously served as Vice President of the Information Sciences Research Center at Bell Laboratories and held a chaired professorship at the University of Texas at Austin. His research focuses on database systems, operating systems, and network management. Silberschatz has advised over a dozen PhD students, many now in academia and industry. Education: Ph.D., Computer Science, Stony Brook University (SUNY) Research Interests: His work spans database systems, operating systems, storage systems, and network management. Notable contributions include foundational textbooks like Operating System Concepts and Database System Concepts , which have become industry standards. He has also developed innovative systems like DataPlay and contributed to projects such as NetInventory. Publications: His 15+ years of research include influential papers on database architecture, network routing, and distributed systems. Recent work explores leveraging non-volatile memory technologies in systems design. Awards: ACM Karl V. Karlstrom Outstanding Educator Award (1998) IEEE Taylor L. Booth Education Award (2002) VLDB Test of Time Award (2019) Multiple Bell Laboratories President's Awards for innovation Grants & Patents: Recipient of over two dozen grants and over four dozen patents, including foundational IP in multimedia storage and distributed systems. His team's HadoopDB project merged MapReduce and DBMS technologies. Labs/Teams: Collaborates with Prof. Robert Soulé on projects in database systems and networking, focusing on next-gen memory technologies. Active in mentoring graduate students and postdocs in their research group.
Adam Caparco is the DiPietro Assistant Professor of Chemical Engineering at Northeastern University, with a 25% joint appointment in the Department of Chemistry and Chemical Biology. He leads the Caparco Research Group, focusing on agricultural and environmental biotechnology, enzyme immobilization, and protein assemblies. His work integrates plant virology, nanotechnology, and molecular engineering to address sustainability challenges in agriculture and environmental remediation. He is a member of the Institute for Plant-Human Interface and holds affiliations with Northeastern’s College of Engineering and School of Arts and Sciences. Education: B.S. in Chemical and Biomolecular Engineering from UCLA (2015), Ph.D. from Georgia Tech (2020) under Julie Champion and Andreas Bommarius, followed by a USDA NIFA Postdoctoral Fellowship at UC San Diego under Nicole Steinmetz. His research spans plant immunoengineering, biomanufacturing in plants, and protein-based nanomaterials for bioremediation. Research Interests Plant excretion pathways for pathogen defense and environmental remediation Design of immobilized enzymes for green chemical synthesis Plant virus nanoparticles for nucleic acid delivery and immunity modulation Multifunctional protein engineering for sustainable agriculture Recent articles highlight advancements in plant virus-based delivery systems, enzyme immobilization strategies, and nano-enabled precision agriculture. Awards include the USDA NIFA Postdoctoral Fellowship. Caparco advises graduate and undergraduate researchers, including Julia Hilgemberg Merlin (PhD ChE), Olha Bereziuk (PhD CCB), and Paul Carter (PhD ChE). He collaborates widely and seeks to expand interdisciplinary research in plant biotechnology. Labs/Teams: Caparco Research Group (EXP 420 lab, EXP 530B office) and the Institute for Plant-Human Interface.
Yi Zheng is an Associate Professor in the Department of Mechanical and Industrial Engineering at Northeastern University, where he directs the Nano Energy Laboratory. He previously held positions at the University of Rhode Island before joining Northeastern in 2019. His research focuses on nanoscale thermal transport, renewable energy systems, photon-based cooling, and sustainable materials derived from biomass. Zheng serves on editorial boards for Scientific Reports and Journal of Photonics for Energy , and actively participates in conferences like ASME IMECE. He holds a PhD in Mechanical Engineering from Columbia University (2015), with earlier degrees from Columbia and Tsinghua University. Education: Ph.D., Mechanical Engineering, Columbia University (2015) M.S., Mechanical Engineering, Columbia University (2011) B.S., Mechanical Engineering, Tsinghua University (2009) Research Interests: Prof. Zheng’s work bridges nanotechnology and energy systems, emphasizing novel materials for thermal management, radiative cooling, and sustainable energy harvesting. His lab develops biomass-derived composites for solar desalination, thermophotovoltaics, and smart cooling paints. Key projects include ultra-dark solar absorbers, phase-change material-based thermal devices, and recyclable cellulose-based materials. Grants & Awards: 2024 ASME Rising Star Award 2019 NSF CAREER Award 2025 NASA Glenn Faculty Fellow 3M Non-Tenured Faculty Award (2022) Labs/Teams: The Nano Energy Laboratory at Northeastern collaborates internationally on projects like photonics-enabled biosensors and adaptive radiative cooling systems. Recent innovations include self-cleaning cellulose composites and cooling paints for urban heat reduction.
Connor Myant is Reader in Digital Manufacturing Systems at Imperial College London's Dyson School of Design Engineering, where he leads the Advanced Manufacturing Group. He holds a PhD from Imperial College (2010) and teaches courses in Solid Mechanics and Design for Additive Manufacture. His research advances multi-material 3D printing technologies with applications in medical devices, energy-absorbing structures, and functional composites. Current projects focus on open-source 5-axis printing platforms and stiffness-matched implants. Publication themes include: Medical device customization Nanocomposite material development Biomechanical optimization Industrial 3D printing systems
Julian Jauk is a Researcher at the Institute for Architecture and Media, TU Graz. His work focuses on innovative material systems, digital fabrication, and sustainable architectural design. He explores the integration of clay composites, mycelium-based materials, and knitted structures with advanced manufacturing techniques like 3D printing. Key research themes include lightweight ceramic structures, biocomposite materials, and computational design methodologies. His research emphasizes material-driven innovation, structural optimization, and environmental sustainability. Notable projects include MyCera (clay-mycelium composites) and ClayKnit (3D-printed clay-knitted hybrids). He also investigates mixed reality tools for architectural sketching and kinetic architectural prototypes. Publications from 2021–2024 highlight trends in bio-based materials, additive manufacturing, and material-property analysis. His work bridges traditional craftsmanship with cutting-edge digital fabrication, aiming to redefine sustainable building practices.
Professor Tillman U. Gerngross is a faculty member at the Thayer School of Engineering at Dartmouth College, where he holds the rank of Professor of Engineering. His research focuses on protein engineering, glycoprotein engineering, and metabolic engineering, with significant contributions to yeast-based production systems for therapeutic proteins. He has pioneered technologies for humanizing glycosylation pathways in yeast, enabling the production of complex glycoproteins for biomedical applications. Education: BS/MS in Chemical Engineering (1989) and PhD in Molecular Biology (1991), both from the Technical University of Vienna, Austria. Research Interests: Professor Gerngross’s work bridges biotechnology and engineering, emphasizing scalable production methods for biologics. His lab has developed novel fermentation and protein expression systems, with applications in antibody engineering and metabolic pathway optimization. Awards: Member of the National Academy of Engineering (2017), 2013 National Academy of Inventors Fellow, and recipient of the 2020 Dartmouth Entrepreneurs Forum Technology Innovation Award. Entrepreneurial Ventures: Co-founder of multiple biotech companies, including GlycoFi (acquired by Merck for $400M), Adimab, Alector, Avitide (acquired by Repligen), and Adagio Therapeutics. These ventures focus on antibody discovery, cancer therapeutics, and pandemic response technologies. Grants & Funding: His startups have secured substantial funding through venture capital and strategic partnerships, reflecting their commercial viability and scientific impact. Notable milestones include Avitide’s $150M acquisition and Alector’s $2.2B valuation post-IPO. Labs & Teams: Leads a multidisciplinary research group at Thayer, collaborating with industry partners to translate academic discoveries into industrial applications. His companies employ advanced R&D teams to develop therapies and biomanufacturing solutions.
Virend Somers, M.D., Ph.D. , is a Professor of Medicine at Mayo Clinic in Rochester, Minnesota, with primary appointments in the Department of Cardiovascular Medicine, and joint appointments in Physiology & Biomedical Engineering and Nephrology & Hypertension. He directs the Cardiovascular and Sleep Facilities within Mayo Clinic's Center for Clinical and Translational Science. Education: MB ChB, University of Natal D.Phil., University of Oxford Resident, Internal Medicine, University of Iowa Fellow, Cardiovascular Diseases, University of Iowa Hospitals and Clinics Research Interests: Dr. Somers' research centers on neural and vascular mechanisms in circulatory control, particularly in sleep disorders such as obstructive and central sleep apnea, hypertension, obesity, and heart failure. His team investigates autonomic nervous system regulation, chemoreflex responses, and vascular biology in humans. His work bridges basic physiology with clinical applications to improve cardiovascular outcomes. Publication Trends: His recent publications (2021–2025) show a strong emphasis on sleep-cardiovascular interactions, including blood pressure regulation during sleep, cardiovascular mortality in the context of comorbidities like obesity and COVID-19, and neurocardiological mechanisms in arrhythmias and syncope. His work frequently appears in high-impact journals such as Sleep , Journal of the American Heart Association , and Journal of Physiology . Scientific Awards: Alice Sheets Marriott Professor (2016) CTSA Mentor of the Year (2012) Distinguished Scientist in Cardiopulmonary Physiology, American College of Chest Physicians (2017) Stanford University World's Top 2% Scientists (2021) Lifetime Achievement Award, South African Society of Sleep Medicine (2012) Doctor Honoris Causa, Masaryk University (2007) Advising and Grants: Dr. Somers has mentored numerous trainees who have won national awards. His research is supported by four NIH R01 grants, a Dana Foundation grant, and a NATO grant. His leadership in collaborative research spans institutions in the U.S., Europe, and South Africa. Labs and Teams: He leads the Cardiovascular Facility and Sleep Facility at Mayo Clinic’s Center for Clinical and Translational Science, fostering interdisciplinary research on sleep and cardiovascular disease.
Francesca Grisoni serves as an Assistant Professor in the Department of Biomedical Engineering at Eindhoven University of Technology (TU/e), where she currently leads the Molecular Machine Learning team. She additionally holds appointments as an ICMS Core member and Associate Professor at EAISI (Eindhoven Artificial Intelligence Systems Institute), reflecting her cross-disciplinary role at the intersection of computational science and biomedical applications. Academic Background : Grisoni completed her Environmental Sciences degree and earned a Ph.D. in 2016 from the University of Milano-Bicocca, where her dissertation focused on interpretable machine learning for molecular property prediction. During doctoral studies, she conducted research at ETH Zurich's Department of Chemistry and Applied Biosciences and the U.S. EPA's National Center for Computational Toxicology. Ph.D., University of Milano-Bicocca, 2016 (Dissertation: Interpretable machine learning for molecular property prediction) Environmental Sciences, University of Milano-Bicocca Her research integrates artificial intelligence, chemistry, and biology to develop computational methods for drug discovery, emphasizing wet-lab experimental validation alongside algorithmic innovation. Key focus areas include overcoming activity cliffs in molecular machine learning, generative modeling for scaffold hopping, and AI-augmented decision-making in therapeutic development, with the ultimate goal of achieving 'better decisions faster' in drug discovery pipelines. Analysis of her recent 2025 publications reveals a concentrated trend toward chemical language models and generative deep learning frameworks, specifically addressing low-data drug discovery challenges through active learning and neural network architectures. These works bridge computer science with pharmacology, targeting bioactivity prediction, molecular representation, and enzyme design while maintaining strong ties to experimental validation. Scientific Awards : Lush Young Researcher Prize Early Career Award 2022 from the Dutch Royal Netherlands Academy of Arts and Sciences (KNAW) ERC Starting Grant (2022) Grants and Supervision : Dr. Grisoni secured the prestigious ERC Starting Grant in 2022 to advance her molecular machine learning research. Institutional records indicate she has supervised 7 students (as shown in TU/e's 'Supervised Work (7)' repository section), though specific names aren't provided in the source material. Her group maintains active industry collaborations, including past engagement with Bracco Pharmaceuticals. Laboratory and Team : The Molecular Machine Learning team operates under the ICMS and EAISI frameworks, merging computational AI development with experimental wet-lab validation. This collaborative unit focuses on fragment-based molecular design, chirality representation (evidenced by fragSMILES work), and high-throughput nanoparticle identification using machine learning, as highlighted in recent press coverage and datasets.
Amit Lal is a Professor in the School of Electrical and Computer Engineering at Cornell University, with affiliations in Biomedical Engineering, Applied Engineering Physics, and Mechanical and Aerospace Engineering. He is a member of key research centers including Cornell CCMR, NBTC, and KAUST-CU. Education: B.S. in Electrical Engineering, California Institute of Technology, 1990 Ph.D. in Electrical Engineering, University of California, Berkeley, 1996 Prof. Lal's research focuses on the development of integrated microsystems using micro- and nanoscale fabrication. His work spans ultrasonic MEMS, low-power IoT sensors, atomic microsystems, and bio-robotics. He directs the SonicMEMS Laboratory, advancing technologies in GHz ultrasonics, inertial sensing, and chip-scale manipulation of particles. His interdisciplinary interests include biomedical imaging, solid-state devices, nanotechnology, and plasma science. His recent publications highlight innovation in energy harvesting, MEMS gyroscopes, and biologically integrated systems. The works reflect strong trends in autonomous sensing, miniaturized power sources, and hybrid bio-electromechanical systems, particularly for medical and navigation applications. Scientific Awards and Honors: NSF CAREER Award Whitaker Foundation Award Department of Defense Exceptional Service Award Best Program Manager Award, DARPA IEEE Ultrasonics and Frequency Control Symposium Best Paper Award IEEE NEMS Best Paper Award Robert M. Scharf 1977 Professor, Cornell Engineering HHMI Visiting Scientist, Janelia Farms Intel Fellowship (awarded to advisee) Prof. Lal has advised numerous students who have gone on to win awards and publish impactful research. He has secured significant research funding through DARPA and other agencies, managing and initiating multiple high-impact programs. His leadership extends to service on technical committees for IEEE conferences and journals, including Transducers and the IEEE Sensors Council. He has also contributed to academic recruiting within ECE. He leads the SonicMEMS Laboratory , a multidisciplinary research group focused on transforming sensing, communication, and computation at the microscale. The lab fosters collaboration across engineering and life sciences, pushing the boundaries of what integrated microsystems can achieve.
Brooks Casas, Ph.D., is a Professor at the Fralin Biomedical Research Institute at VTC, with joint appointments in the Department of Psychology (College of Science), Department of Biomedical Engineering and Mechanics (College of Engineering), and the Department of Psychiatry and Behavioral Medicine (School of Medicine) at Virginia Tech. He is also a College of Science Faculty Fellow, recognized for his contributions to decision neuroscience and computational psychiatry. Ph.D. in Psychology, Harvard University Postdoctoral Fellowship, Baylor College of Medicine Former Assistant Professor of Neuroscience and Psychiatry, Baylor College of Medicine Brooks Casas investigates the neural computations underlying social decision-making, focusing on how valuation, learning, and social preferences shape human choices. His research integrates decision neuroscience, behavioral economics, and social psychology to understand both normative and pathological decision processes. Key areas include trust, risk preferences, social influence, and impaired decision-making in psychiatric disorders such as substance abuse and borderline personality disorder. His lab employs fMRI, computational modeling, and longitudinal studies to explore these phenomena. His recent publications span topics such as machine learning applications in diagnosing borderline personality disorder, neural predictors of adolescent risk behaviors, and the role of cognitive control in substance use. His work often involves large-scale longitudinal studies, such as the decade-long investigation into early life adversity and brain development with Jungmeen Kim-Spoon. He has not received any explicitly mentioned scientific awards in the provided text. Casas leads the Casas Lab within the Center for Human Neuroscience Research and collaborates extensively with students and researchers across disciplines. His work is supported by grants from the National Institutes of Health and the Institute for Society, Culture, and Environment. He advises multiple graduate students and early-career researchers, contributing significantly to training in computational psychiatry and decision neuroscience. His lab, the Casas Lab, is part of the Fralin Biomedical Research Institute and focuses on human neuroscience research, particularly using neuroimaging and behavioral experiments to study social and economic decision-making.
Eduard Arzt is a Distinguished Visiting Professor in the Department of Material Science and Engineering at the University of California, San Diego. He is internationally recognized for his pioneering work in materials science, with a focus on functional microstructures, bioinspired adhesives, and sustainable materials solutions. His current research explores innovative applications in biomedical engineering and space technology. His research interests center on the micropatterning of elastomeric surfaces to control mechanical interactions sustainably. Key areas include gecko-inspired adhesives for biomedical use and novel microstructures for space applications such as satellite debris retrieval. He also promotes biodiscovery as a strategy for developing materials for extreme environments. His interdisciplinary approach bridges materials physics, biology, and engineering. The trends in his recent work emphasize sustainability, bioinspiration, and the application of advanced materials in both medical and extraterrestrial contexts. His research integrates principles from nanotechnology, soft matter physics, and robotics to create next-generation functional materials. Notable scientific honors include: 2023 William D. Nix Award (TMS) Elected member of the Leopoldina German Academy of Sciences Elected member of the Austrian Academy of Sciences Elected member of the US National Academy of Engineering Prof. Arzt has held leadership roles in major research institutions and actively mentors researchers through his labs and collaborative networks. He is Editor-in-Chief of Progress in Materials Science and co-founded a deep-tech robotics startup, reflecting his commitment to translating scientific innovation into real-world applications. He has secured significant research funding through national and international grants, though specific grants are not detailed here. His research is conducted in collaboration with interdisciplinary teams and leverages advanced fabrication and characterization facilities. He fosters strong international partnerships, particularly between European and American research institutions, and promotes sustainable innovation through bioinspired design principles.
Björn Eskofier is a Principal Investigator for the Translational Digital Health Group at AI for Health and leads the research group at Helmholtz Zentrum Munich. He is Professor at Friedrich-Alexander-University Erlangen-Nuremberg (FAU), where he founded the Machine Learning and Data Analytics (MaD) Lab in 2013 and established the Department of Artificial Intelligence in Biomedical Engineering (AIBE). Education: PhD in Biomechanics (University of Calgary, 2006-2013), MSc in Electrical Engineering (FAU, 2006). His research focuses on building a Digital Health Ecosystem through multidisciplinary collaboration, emphasizing Machine Learning, Data Analytics, Biomechanics , and AI-driven clinical translation. Recent publications highlight his work in federated health data systems, predictive disease modeling, and digital symptom monitoring. He is an active academic leader , serving as Area Editor for IEEE journals, General Chair of BHI 2023, and co-director of the EmpkinS initiative. His awards include the Unipreneurs award (2023), multiple best paper prizes, and recognition as a Heisenberg Professor (DFG, 2017-2022).
