Thomas Hacker is a Professor in the Department of Computer and Information Technology at Purdue Polytechnic Institute, Purdue University. His research focuses on cloud computing, high-performance computing, operating systems, computer networking, and cyber infrastructure . He holds a Ph.D. and M.S. in Computer Science & Engineering from the University of Michigan, along with dual B.S. degrees in Computer Science and Physics from Oakland University. Education: PhD (Computer Science & Engineering), University of Michigan (2004) MS (Computer Science & Engineering), University of Michigan (1993) BS (Computer Science, Mathematics Minor), Oakland University (1989) BS (Physics), Oakland University (1989) Dr. Hacker's research spans cloud and grid computing, operating systems, and distributed systems , with applications in earthquake engineering data systems and AI-driven infrastructure analysis. His recent work explores extended layer 2 networking for bare-metal provisioning ( 2023 IEEE Cloud Summit ) and machine-supported bridge inspection using artificial intelligence ( Transportation Research Record, 2023 ). Notable scientific contributions include 15+ publications on topics like cyberinfrastructure for earthquake engineering, container-based virtualization, and data-intensive systems. His work has been recognized with awards such as the NSF CAREER Award (2010) and multiple Purdue Seed for Success Awards . Key Scientific Awards: NSF CAREER Award (2010) Purdue Seed for Success Awards (2008-2013) ASEE Information Systems Division Best Paper Award (2012) College of Technology Outstanding Faculty in Discovery Award (2010) He has held leadership roles at Purdue, including Department Head (2018-2021) and Interim Department Head (2011-2016) . His career spans academic positions at Indiana University, University of Michigan, and industry roles at Storage Technology Corporation.
Marc V Fuccillo is an Associate Professor of Neuroscience at the Perelman School of Medicine, University of Pennsylvania, where he leads a research laboratory focused on understanding the neural circuit mechanisms underlying behavioral control. His work bridges molecular, synaptic, and behavioral approaches to investigate how striatal circuits regulate mouse behavior from simple motor patterns to complex goal-directed actions. Fuccillo holds dual appointments in the Neuroscience and Cell and Molecular Biology Graduate Groups at Penn and maintains an active laboratory investigating the synaptic and circuit basis of neuropsychiatric disorders. Education: B.A. in Molecular and Cellular Biology and Music Performance (Violin) from Brown University (1998) Ph.D. in Developmental Genetics from New York University School of Medicine (2007) M.D. from New York University School of Medicine (2008) Fuccillo's research centers on the synaptic and circuit mechanisms of behavioral control, with particular emphasis on striatal circuits. His laboratory employs a range of technologies including mouse genetics, in vitro electrophysiology, in vivo imaging, and quantitative behavioral analysis to explore how neural circuits of the striatum regulate behavior and how disruptions in these circuits contribute to neuropsychiatric disorders. His work has particularly focused on autism-associated abnormalities in behavioral control, examining how synaptic adhesion molecules like neuroligins and neurexins shape circuit function and behavior, with significant findings regarding D1 dopamine receptor positive medium spiny neurons in the nucleus accumbens. Analysis of Fuccillo's recent publications reveals a strong focus on striatal circuit function across multiple dimensions. His work spans molecular neuroscience (examining synaptic adhesion molecules), cellular physiology (studying specific neuron types in striatal circuits), systems neuroscience (mapping circuit connectivity), and behavioral neuroscience (quantifying motor learning and decision-making). A unifying theme is how disruptions in specific molecular pathways lead to circuit-level abnormalities that manifest as behavioral phenotypes relevant to neuropsychiatric disorders, with particular attention to autism, OCD, and schizophrenia models. Scientific Recognition: Publications in high-impact journals including Nature Neuroscience, Current Biology, Cell Reports, and Neuron Research supported by multiple NIH grants including NIMH F32, NIMH K01, and HHMI Gilliam Fellowship awards for lab members Fuccillo actively mentors a diverse group of trainees including postdoctoral fellows, graduate students, and undergraduates. His laboratory has produced numerous successful alumni who have gone on to faculty positions, medical residencies, and graduate programs at prestigious institutions. His mentoring approach emphasizes technical skill development across multiple neuroscience disciplines while fostering independent scientific thinking. Current research in his lab is supported by NIH funding focused on understanding the molecular architecture of striatal circuits and their role in behavioral control, with three major research directions exploring molecular logic of striatal circuits, circuit mechanisms of behavioral control, and striatal dysfunction in neuropsychiatric disease models. The Fuccillo Laboratory operates within the Department of Neuroscience at the University of Pennsylvania, with access to state-of-the-art facilities for molecular, electrophysiological, imaging, and behavioral neuroscience research. The lab maintains active collaborations with other neuroscience research groups at Penn and beyond, creating a rich intellectual environment for studying the neural basis of behavior. Current research directions include investigating whether there is a molecular logic to striatal circuit composition, how striatal circuits shape behavioral control, and what mouse models of autism, schizophrenia, and OCD can reveal about striatal circuit dysfunction in disease pathophysiology.
Dr. Steven G. Clarke is a Distinguished Professor at UCLA Department of Chemistry & Biochemistry and director of research at the Molecular Biology Institute . His work bridges protein chemistry , methylation biology , and aging research through studies of spontaneous protein damage and its repair mechanisms. Education: BA in Chemistry and Zoology, Pomona College (magna cum laude, Phi Beta Kappa) PhD in Biochemistry and Molecular Biology, Harvard University (NSF Fellow) Postdoctoral Fellowship at UC Berkeley (Miller Fellow) Dr. Clarke's research focuses on protein isoaspartyl repair via PCMT1/PIMT enzymes , ribosomal protein methylation in Saccharomyces cerevisiae , and PRMT family characterization including PRMT7 and PRMT9. His lab combines biochemical assays , genetic models , and structural analysis to investigate aging mechanisms and disease implications. Recent publications highlight: COQ5 structure-function analysis in coenzyme Q biosynthesis PCMTD1 ubiquitin ligase interactions PRMT7 substrate specificity in histone H2B Protein isoaspartyl impacts on T cell function in lupus Novel PRMT inhibitors for cancer therapy Methionine addiction in osteosarcoma malignancy Major scientific awards: American Chemical Society Ralph F. Hirschmann Award in Peptide Chemistry NIH MERIT Award Ellison Medical Foundation Senior Scholar Award William C. Rose Award, ASBMB UCLA Distinguished Teaching Award (Eby Award winner) Current lab members include PhD candidates Eric Pang (UCSB) and Sining "Cindy" Wang (UCLA), while undergraduates Celeste Medina-Seymoure , Elizabeth Oroudjeva , Olivia Pacheco , and Jasmine Winter contribute to ongoing proteostasis studies. Collaborations with Profs. Jose Rodriguez and Catherine Clarke demonstrate interdisciplinary research approaches.
Hamed Zamani is an Associate Professor at the Manning College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst, where he also serves as Associate Director of the Center for Intelligent Information Retrieval (CIIR). He joined UMass Amherst in 2020 after working as a researcher at Microsoft. His research focuses on designing and evaluating statistical and machine learning models for information access systems, including search engines, recommender systems, and question answering. Education: PhD in Computer Science, University of Massachusetts Amherst MS in Computer Engineering, University of Tehran BS in Computer Engineering, University of Tehran Zamani's current research explores neural information retrieval, conversational search, and retrieval-enhanced machine learning. He develops efficient neural models for core IR tasks and emerging areas like conversational information seeking. His work bridges information retrieval with large language models to enhance capabilities in understanding complex queries and generating relevant responses. His recent publications demonstrate a strong focus on retrieval-augmented generation, personalized information access, and efficient neural ranking models. There's a clear trend toward integrating large language models with information retrieval systems, optimizing multi-agent frameworks, and developing evaluation metrics for generative AI applications in search contexts. Scientific Awards: NSF CAREER Award ACM SIGIR Early Career Excellence in Research & Community Engagement Awards (2023) UMass CICS Outstanding Dissertation Award Paper awards at SIGIR (2022, 2023, 2024), CIKM (2020), ICTIR (2019) Microsoft Research Award (AI and New Future of Work program) Amazon Research Award (Optimization of Retrieval-Enhanced ML Models) Zamani actively advises PhD students and postdoctoral researchers, with his students receiving prestigious awards including NSF Graduate Research Fellowships and SIGIR Best Paper awards. He leads the CIIR Talk Series, hosting IR researchers to share recent findings. His Alexa Prize TaskBot Challenge team was selected for two consecutive years, advancing task-oriented dialogue systems. He directs research at the Center for Intelligent Information Retrieval (CIIR), where he oversees projects in neural retrieval models, conversational AI, and retrieval-augmented generation. The center serves as a hub for developing next-generation information access systems with industry and academic collaborators.
Prof. Dr. Pinar Yolum Birbil is a leading researcher in Responsible AI at the Faculty of Science , Utrecht University . Her work bridges Artificial Intelligence , Privacy and Data Protection , and Software Agents , focusing on Human-Centered AI and Trustworthy Systems . She is part of the AI & Data Science and Responsible AI research groups. PhD in Computer Science, North Carolina State University (2003) MS in Computer Science, North Carolina State University (2000) BSc in Computer Engineering, Marmara University (1998) Her research explores Privacy Preservation in collaborative systems, Computational Theory of Mind for human-agent coordination, and Norm-Based AI Systems . Recent projects include the Hybrid Intelligence Center and tools like PANOLA for privacy support. She investigates how AI can balance user autonomy , ethical norms , and societal values in applications ranging from urban planning to healthcare. Her scientific publications (2023-2025) span topics like Explainable Privacy , Trust in Hybrid Teams , and AI for Diabetes Management , appearing in venues such as JAIR , AAMAS , and ACM TOIT . She emphasizes collaborative AI , with contributions to multiagent simulations and privacy-preserving mechanisms . Scientific Awards : NC State University Alumni Hall of Fame (2017) Woman Entrepreneur of the Year (Microsoft Turkey & KAGIDER, 2017) Bogazici University Academic Encouragement Award (multiple years) Best Paper Award at ESAW 2009 She supervises a dynamic research group with PhD students working on Hybrid Intelligence , Computational Ethics , and Privacy Modeling . Her projects often involve interdisciplinary collaboration with institutions like TNO and the Transforming Cities Hub .
Dr. Federico Cammelli is a Researcher at the Department of Environmental Systems Science (ETH Zurich) within the Professorship for Sustainable Agroecosystems. His work focuses on environmental sustainability, deforestation mitigation, and equitable policy design in tropical regions. He investigates the effectiveness of supply chain policies, fire management strategies, and smallholder livelihood challenges in regions like the Amazon, West Africa, and Indonesia. Key research areas include zero-deforestation commitments in cattle and soy sectors, cocoa sustainability in West Africa, and the interplay between fire use, poverty, and conservation. He employs experimental methods and interdisciplinary approaches to address complex environmental governance challenges. Based at ETH Zurich’s Sonneggstrasse 33 campus, Dr. Cammelli collaborates with international institutions to advance sustainable agroecosystems and climate-resilient development. His research bridges environmental science, policy analysis, and socioeconomic dimensions of conservation.
Dr. Yogambha Ramaswamy is a Senior Lecturer in the School of Biomedical Engineering at The University of Sydney and a member of the Sydney Nano Institute. She holds a Master’s in Biotechnology from the University of Queensland and a PhD in Biomedical Engineering from the University of Sydney (2009). Her postdoctoral career began as a Vice-Chancellor’s Postdoctoral Research Fellow at the University of New South Wales, followed by a Peter Doherty Early Career Fellowship in 2013 before joining the University of Sydney in 2015. Dr. Ramaswamy’s research focuses on biomaterials, tissue engineering, and mechanobiology, with a particular emphasis on developing calcium silicate-based ceramics and biopolymers for orthopedic and regenerative applications. Her recent work explores the role of physical cues in modulating stem and cancer cell behavior. She teaches courses such as AMME1961 (Introduction to Biomedical Engineering B) and AMME5962 (Introduction to Mechanobiology). Her research has been supported by grants including the NHMRC Early Career Fellowship and collaborations with institutions like the CSIR-Indian Institute of Chemical Technology and the University of Otago. Her publications span biomaterials, nanotechnology, and mechanobiology, with recent work addressing atherosclerosis, hydrogel design, and nanomedicine. She currently supervises PhD students Frank (biomaterials) and Alexander (atherosclerosis research).
Paul Larson is a Professor of Mathematics at Miami University. His research focuses on set theory, topology, and model theory, with particular expertise in forcing axioms, descriptive set theory, and infinitary logic. He holds a Ph.D. in Mathematics from the University of California, Berkeley. His work bridges foundational mathematical logic with applications in topology and combinatorics. Key contributions include studies on canonical models under fragments of the Axiom of Choice, polar forcings, and cardinal characteristics. Larson has collaborated extensively with leading researchers such as Saharon Shelah and Jindřich Zapletal. His publications span prestigious journals like the Annals of Pure and Applied Logic and Transactions of the American Mathematical Society. Beyond research, he contributes to the academic community through editorial work and expository writings on historical developments in determinacy theory. Education: Ph.D., Mathematics, University of California, Berkeley Research interests emphasize foundational questions in set theory with applications to topology and model theory. His recent work explores advanced forcing techniques, square principles in Pmax extensions, and combinatorial properties of cardinal invariants. Publications reflect interdisciplinary engagement, including crystal structure prediction in high-pressure chemistry and operator theory in functional analysis. Despite an extensive publication record, no specific scientific awards are documented here. His advising and grant activities remain unspecified in the provided texts. Collaborations span international institutions, reflecting his role as a central figure in contemporary set theory research.
Mary Silber is a Professor in the Department of Statistics and the College at the University of Chicago, and serves on the Executive Committee of the Committee on Computational and Applied Mathematics (CCAM). Her research focuses on dynamical systems and bifurcation theory, with applications to climate science, ecological dynamics, and pattern formation. She investigates tipping points in climate systems and self-organized vegetation patterns in drylands, exploring mathematical mechanisms behind abrupt transitions and noise-driven instability. Her work bridges theoretical mathematics with real-world phenomena, including Arctic sea ice melt processes and feedback mechanisms in ecosystems. Notable grants include a $50M interdisciplinary initiative between Northwestern and UChicago for life sciences data science and a collaborative Institute for Foundational Data Science. Silber’s contributions span bifurcation theory, spatio-temporal chaos, and control of unstable dynamical systems, with a focus on symmetry-breaking and model reduction techniques. Her recent research emphasizes resilience in dryland ecosystems under climate variability and the role of percolation thresholds in Arctic melt pond dynamics. Despite no formal student listings, her work is supported by interdisciplinary collaborations and federal grants in applied mathematics and environmental science.
Maurizio Dallocchio is a Full Professor of Corporate Finance at Bocconi University and SDA Bocconi School of Management. He served as Dean of SDA Bocconi (2003–2007) and has held leadership roles in academic and professional institutions, including Chair of the Audit Committee of the European Investment Bank (EIB). His research focuses on corporate valuation, mergers & acquisitions (M&A), and sustainable finance. Dallocchio founded DGPA & Co., a corporate finance consultancy, and advises public and private entities globally. He has taught at leading institutions like London Business School and NYU Stern School of Business. Educational Background: Ph.D. in Business Administration, Bocconi University Advanced studies at London Business School and New York University Stern School of Business Research Interests: Prof. Dallocchio’s work emphasizes corporate restructuring, ESG integration in finance, and strategic valuation methodologies . Recent studies explore environmental performance in emerging markets and the resilience of conglomerates during economic crises. He advocates for sustainable investment strategies that balance financial returns with societal impact. Professional Engagements: Board member roles at Klepierre Management, General Finance, and Podravska Banka Past Director of the Master in Corporate Finance program at SDA Bocconi Labs/Teams: Leads research initiatives at Bocconi’s Corporate Finance and Real Estate Department, collaborating with global institutions on projects involving corporate governance, M&A analytics, and sustainable development.
Dr. Ahmet Acar is an Associate Professor at the Department of Biological Sciences, Middle East Technical University (METU), Ankara, Turkey. He leads the Cancer Precision Medicine and Drug Resistance Laboratory, focusing on understanding mechanisms of drug resistance in cancer. His research integrates experimental models, next-generation sequencing, and deep learning to address clinical challenges in cancer therapy. Dr. Acar holds a B.Sc. from METU's Biological Sciences department and a Ph.D. from the Cancer Research UK Manchester Institute. He completed postdoctoral training at the Institute of Cancer Research, London, and the University of Manchester. Research Interests: Drug resistance mechanisms, precision oncology, tumor microenvironment modeling, patient-derived organoids, computational pathology, and evolutionary cancer biology. His lab develops 2D/3D co-culture systems, PDO biobanks, and AI-driven histopathology tools to improve treatment strategies. Recent Work Trends: Recent publications emphasize tumor evolution modeling, matrix mechanics in drug resistance, and AI applications in histopathology. Collaborations with hospitals in Turkey and Europe support PDO biobank initiatives. His team explores evolutionary steering strategies to exploit collateral drug sensitivities. Labs/Teams: Precision Medicine and Drug Resistance Lab at METU focuses on interdisciplinary approaches combining wet-lab experiments with computational methods. Current projects include ex vivo tumor modeling and AI-driven diagnostic tools for oncology.
Eero Hyvönen is a Professor of Computer Science at Aalto University and Director of the Helsinki Centre for Digital Humanities (HELDIG) at the University of Helsinki. He leads the Semantic Computing Research Group (SeCo), specializing in Semantic Web technologies and applications. Hyvönen holds an Adjunct Professor title at the University of Helsinki's Department of Computer Science. His work focuses on developing national-level semantic web infrastructure, with applications in digital humanities, cultural heritage, and AI. He has published over 500 research articles and books, receiving numerous awards including the Decoration of Knight, First Class, of the Order of the White Rose of Finland (2018). Hyvönen chairs editorial boards of journals like Semantic Web and serves on committees for major conferences. His research spans semantic web technologies, linked open data, and AI applications in cultural heritage domains. Key projects include Sampo portals (e.g., LetterSampo, OperaSampo) for cultural data analysis, ParliamentSampo for parliamentary data, and FindSampo for archaeological finds. His work emphasizes interdisciplinary collaboration, integrating law, history, and computing through initiatives like FIN-CLARIAH. Hyvönen advises doctoral and master's students, notably Annastiina Ahola and Jouni Tuominen, who have won awards under his supervision. He directs research infrastructures, chairs international boards, and actively contributes to open data policies and standards development.
Marya Besharov is a Professor of Organisations and Impact at Saïd Business School, University of Oxford, and Academic Director of the Skoll Centre for Social Entrepreneurship. She holds a BA, MA, and PhD from Harvard University, alongside an MBA from Stanford University. Her work focuses on leadership, social impact, and hybrid organizations, advising global entities on balancing social and financial priorities. Education: PhD in Organizational Behavior, Harvard University MA in Sociology, Harvard University BA in Social Studies, Harvard University MBA, Stanford University Research Interests: Dr. Besharov’s research explores how organizations navigate competing goals, particularly in hybrid models like social enterprises. She investigates organizational identity, institutional logics, and leadership frameworks for systemic change. Her findings appear in Administrative Science Quarterly , Harvard Business Review , and Stanford Social Innovation Review . Engagement & Teaching: She leads executive education programs and workshops on leadership and systems change through the Skoll Centre. Her teaching emphasizes contingency-based frameworks for managing organizational complexity. Labs & Initiatives: Academic Director of the Skoll Centre for Social Entrepreneurship, a global hub for social impact education and research.
Deian Stefan is an Associate Professor at the University of California San Diego (UCSD) in the Department of Computer Science and Engineering . His research spans security , programming languages , and systems , with a focus on building principled and practical secure systems. He has served as a co-founder and Chief Scientist at Intrinsic (acquired by VMWare) and contributed to standards bodies like the W3C WebAppSec and Node.js Security Working Groups . His research interests include: Secure Systems : Web frameworks, browser designs, sandboxing, runtime systems Language-Based Security : Constant-time programming, memory safety, information flow control Verification : Security verification, static/symbolic analysis tools WebAssembly and JavaScript JITs security Deian Stefan has received multiple scientific awards , including several Distinguished Paper Awards at venues like POPL, ICFP, and USENIX Security, as well as the IEEE Cybersecurity Award for Practice (2022) and CSAW 2020 First Place for Applied Research. He has taught courses on Computer Security (CSE 127, CSE 227) and advanced topics in Building Secure Systems (CSE 291) using Rust, WebAssembly, and blockchain security. His work has been supported by collaborations with industry and academia, including projects like RLBox and COWL .
Soroush Saghafian is an Associate Professor of Public Policy at Harvard Kennedy School, specializing in applying operations research and machine learning to address public health challenges. He leads the Public Impact Analytics Science Lab (PIAS-Lab), focusing on analytics-driven solutions for societal problems. His research spans healthcare delivery optimization, emergency department efficiency, and public health policy. Notable collaborations include Massachusetts General Hospital and Harvard's Center for Health Decision Science. Awards include the INFORMS MSOM Responsible Research Award and the Pierskalla Award for healthcare research. Recent work includes studies on hospital closures' impacts, predictive analytics for bipolar disorder using Fitbit data, and policy implications of race in disease risk models. He teaches courses on machine learning and big data for public impact.
