Erik Nook is an Assistant Professor at Princeton University, leading the Logic of Emotion Lab . His research focuses on the interplay between language and emotion, integrating developmental, neuroscience, and translational approaches to understand emotional processes and their implications for psychological health. He holds a Ph.D. from Harvard University and is a trained clinical psychologist. Key research areas include emotion regulation strategies, neurodevelopmental bases of emotional perception, and the application of linguistic analysis to psychotherapy outcomes. His work bridges basic science and clinical practice, with particular attention to psychopathology and mental health interventions. Recipient of the APS Rising Star award, Dr. Nook advises three graduate students and maintains an active research team. His lab explores topics such as emotion differentiation in youth, neural correlates of emotional experience, and the role of language in shaping psychological resilience.
Andrew D. Selbst is a Professor of Law at UCLA School of Law and currently serves as the William J. Friedman and Alicia Townsend Friedman Visiting Professor of Law at Harvard Law School. He has been on the UCLA faculty since 2020 and previously held positions as a Postdoctoral Scholar at the Data & Society Research Institute and a Visiting Fellow at Yale Law School's Information Society Project. He has also taught as an Adjunct Professor at Fordham Law School. Professor Selbst received his educational training from prestigious institutions: S.B. in Physics and Electrical Science and Engineering from MIT (2004) M.Eng. in Electrical Engineering and Computer Science from MIT (2005) J.D. from the University of Michigan Law School (2011) Before entering academia, Professor Selbst worked as a design engineer at Cirrus Logic and Analog Devices. Following law school, he served as a Privacy Research Fellow at NYU School of Law's Information Law Institute, an Alan Morrison Supreme Court Assistance Fellow at Public Citizen Litigation Group, a Senior Associate in Hogan Lovells US LLP's Communications group, and clerked for federal judges including the Honorable Dolly M. Gee and the Honorable Jane R. Roth. Professor Selbst's research examines the complex relationship between law, technology, and society. Drawing on resources from computer science, sociology, and science and technology studies, he seeks to understand how technologies interfere with existing legal regimes and how legal actors can respond to the social effects of new technology. His recent work has focused specifically on the effects of machine learning and artificial intelligence on various legal domains, including discrimination law, policing practices, credit regulation, data protection frameworks, and tort law. His interdisciplinary approach combines technical understanding of AI systems with deep legal analysis to address emerging challenges in the digital age. Professor Selbst teaches courses in torts, information privacy and data protection, a seminar on law, technology and society, and beginning in 2025, a dedicated course on Artificial Intelligence Law. His publications have appeared in leading law journals including Boston University Law Review, California Law Review, Harvard Journal of Law and Technology, and University of Pennsylvania Law Review, as well as in the ACM Conference on Fairness, Accountability and Transparency. He is also the coauthor of a forthcoming casebook on Artificial Intelligence Law. His scholarly contributions demonstrate a consistent focus on the intersection of emerging technologies and legal frameworks, with particular attention to how AI systems create novel challenges for established legal doctrines. Professor Selbst's work has been influential in shaping academic and policy discussions around AI regulation, algorithmic accountability, and the adaptation of legal systems to technological change.
Antonis Papapantoleon is a Professor of Mathematical Finance at the Delft Institute of Applied Mathematics (DIAM), part of the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at TU Delft. He is also affiliated with the Delft FinTech Lab and serves as an Affiliated Researcher at the Institute of Applied and Computational Mathematics (IACM), FORTH. Previously, he held roles including Assistant Professor at the National Technical University of Athens (NTUA), Juniorprofessor at TU Berlin (2011–2017), and Deputy Professor at the University of Mannheim (2016–2017). His research focuses on stochastic systems, Lévy processes in finance, term structure/LIBOR modeling, systemic risk management, model-free methods, and applications of machine learning in finance. Key contributions include advancements in affine LIBOR models, systemic risk analysis, and copula-based risk allocation. His work has been published in top journals like Annals of Applied Probability , Mathematical Finance , and Finance and Stochastics . His research has been supported by the Hellenic Foundation for Research and Innovation (HFRI), Europlace Institute of Finance, DAAD, MATHEON, and private corporations. He has delivered invited talks globally and co-edited Advanced Modelling in Mathematical Finance (Springer, 2016). Current affiliations include leadership in the Delft FinTech Lab and active participation in international collaborations. His work bridges theoretical stochastic analysis with practical financial applications, emphasizing robust frameworks for risk measurement and derivatives pricing.
Jakub Macina is a Doctoral Fellow at the ETH AI Center and a PhD Candidate at ETH Zürich . He works in the intersection of Natural Language Processing and Learning Sciences as part of the Language, Reasoning and Education Lab (led by Prof. Mrinmaya Sachan) and the Professorship for Learning Sciences and Higher Education (led by Prof. Manu Kapur). Forbes 30 Under 30 in Science & Education 2023 Recipient of ETH AI Center Fellowship ( Co-founder of a health-tech startup with seed investment Research Interests : Focus on generative large language models (LLMs), dialogue tutoring systems , pedagogical alignment of AI models, and mathematical reasoning . His work explores: Reinforcement learning for pedagogical steering LLM evaluation frameworks Socratic question generation Stepwise error detection and remediation Student-teacher interaction modeling Publications span top conferences like EMNLP , ACL , NeurIPS , and RecSys , with particular emphasis on educational applications of LLMs and dialogue-based learning systems . Scientific Awards : Forbes 30 Under 30 in Science and Education (2023) 2nd Place in ACM IT SPY Computer Science Master's Thesis Competition (2017) ETH AI Center Fellowship (2021) Leadership & Teaching includes: Managing team of 6 data scientists Teaching Assistant for Machine Learning and NLP courses at ETH Zurich Developing large-scale ML pipelines for recommender systems Open-source contributions to Discourse and Google Summer of Code projects
Tülin Haşlaman is an Associate Professor at the Department of Elementary Education - Primary Education, TED University. She holds roles as a Coordinator and Vice Head of Department. Her teaching portfolio includes courses such as Instructional Technologies, Technology-Enhanced Language Learning, and Micro Teaching, reflecting her expertise in educational technology and pedagogical innovation. Her research focuses on ICT integration in education, self-regulated learning strategies, and teacher development. Notable areas of interest include the use of digital storytelling for computational thinking, infographics in supporting student autonomy, and smartphone addiction among university students. She has also studied the impact of social media platforms like Facebook on teacher training and the integration of ICT into teaching processes. Dr. Haşlaman’s work emphasizes bridging technology with educational practices, particularly in primary education contexts. Her articles highlight themes such as pre-service teacher digital competency, disabled teachers’ technology integration challenges, and peer assessment in online environments. Despite her extensive academic contributions, she has no explicitly listed awards or grants in the provided materials. Her courses over the years span foundational education topics like Learning Environments, Observation in Schools, and Research Methods, demonstrating a commitment to both theoretical and applied aspects of education. While she has not specified any affiliated labs or teams, her teaching and research activities suggest active engagement in educational technology initiatives and teacher professional development programs.
Donato Romano serves as Associate Professor at The BioRobotics Institute of Scuola Superiore Sant'Anna, Italy, where he coordinates the Bio-Robotic Ecosystems Lab and co-founded the spin-off company HUBILIFE srl. His interdisciplinary work bridges robotics, biology, and AI to develop biohybrid systems for biodiversity preservation, sustainable environmental management, and life support in extreme scenarios including space exploration. With over 90 publications and an H-index of 27 (Scopus, March 2025), he has established significant academic leadership through editorial roles across 12+ international journals. Romano's educational foundation includes advanced degrees with honors: an M.Sc. in Agriculture Science and Technologies (2014) and a PhD in BioRobotics (2018), both from Scuola Superiore Sant'Anna. His academic journey includes visiting scholar positions at Khalifa University and substantial industry-academia collaboration through HUBILIFE srl, which commercializes bioinspired devices for human daily life improvement. His research program focuses on bioinspired and biomimetic robotics with particular emphasis on animal-robot interaction, biohybrid systems, and natural intelligence. Key projects address critical global challenges: SENSORBEES develops biohybrid environmental surveillance for ecological monitoring; REGOLIFE investigates lunar soil-terrestrial organism interactions for space agriculture; and OCEAN ROBOCTO explores marine ecosystem solutions. This work demonstrates a strategic progression from fundamental behavioral studies toward applied ecological and extraterrestrial systems. Analysis of his recent publications reveals strong trends in AI-driven behavioral analysis, with deep learning increasingly applied to entomological studies and pest management. The research spans agricultural applications (precision monitoring traps, larval detection systems), ecological conservation (biodiversity surveillance), and extreme-environment adaptation (lunar regolith studies). A distinctive feature is the consistent integration of biohybrid approaches where living organisms and robotic systems create synergistic capabilities exceeding either component alone. Romano's scientific recognition includes election as Junior Fellow of the Italian Academy of Engineering and Technology (2025), the Lucani fuori dal Comune award (2024), and multiple best-thesis prizes. His editorial leadership spans high-impact journals including IEEE Transactions on Medical Robotics and Bionics and Pest Management Science, where he serves as Associate Editor. As principal investigator, Romano coordinates major international projects totaling over €15M in funding: HORIZON-EIC's SENSORBEES (2024-2029), ASI's REGOLIFE (2024-2027), National Geographic's OCEAN ROBOCTO (2024-2026), and PRIN's COSMIC (2023-2025). His teaching portfolio includes PhD courses in Biosystems for Biorobotics and M.Sc. instruction in Bionics Engineering at Scuola Superiore Sant'Anna and University of Pisa. The Bio-Robotic Ecosystems Lab under Romano's direction pioneers biohybrid technologies where living organisms and robotic systems create integrated solutions. Current initiatives include SENSORBEES' environmental monitoring swarms, REGOLIFE's moonworm colonization systems, and HUBILIFE's commercial vector-control devices. The lab maintains active collaborations with space agencies, agricultural institutes, and conservation organizations, positioning biohybrid systems as next-generation tools for planetary-scale challenges.
Vineet Pandey is an Assistant Professor at the Kahlert School of Computing, University of Utah, and a Responsible AI Faculty Fellow starting Spring 2025. His research focuses on human-centered computing tools to bridge communities and institutional experts in science and medicine, emphasizing digital health and citizen science. He holds a Ph.D. in Computer Science from UC San Diego (2013-2019) and postdoctoral roles at MIT (2022-2023) and Harvard University (2020-2022). Education: Ph.D. in Computer Science, UC San Diego (2013-2019) Postdoctoral Researcher, MIT (2022-2023) Postdoctoral Fellow, Harvard University (2020-2022) Research Interests: Designing systems for community-led scientific work Remote health assessment tools for neurological disorders Social platforms for public participation in policymaking Collaborations with rare disease communities and healthcare institutions Articles Trends: Recent work spans motor impairment monitoring in ataxia-telangiectasia, digital phenotyping in ALS, and citizen science platforms like Galileo. Earlier contributions include key-value store systems and microbiome research via the American Gut Project. Scientific Awards: 2019 School of Engineering Henry Booker Award for Exemplary Ethical Engineering Advising/Grants: Supervises PhD/MS/BS students on HCI projects in digital health and citizen science. Alumni include Jenny Yijun Zhan (MSD) and Gunasekhar Athuluri (CS MS). Teaches courses like 'Designing Digital Health Systems' and 'Designing Human-Centered Systems'. Labs/Teams: Leads a multidisciplinary group collaborating with medical experts, rare disorder communities, and institutions. Current projects include fine-finger tracking for motor performance analysis and platform design for participatory science.
Dr. Daniel R Obaid is a Clinical Associate Professor and Consultant Cardiologist at Swansea University Medical School , specializing in Biomedical Sciences . His clinical academic work at the Morriston Regional Cardiac Centre and ILS 2 Clinical Imaging Facility focuses on advanced cardiovascular imaging and interventional cardiology. Expertise in Interventional Cardiology , Cardiac CT , and Atherosclerotic Plaque Imaging Significant contributions to patient safety and human factors in cardiovascular procedures Recipient of the Young Investigator Prize from the Society of Cardiovascular CT, USA His research integrates invasive and non-invasive imaging techniques to identify vulnerable plaques, with publications spanning atherosclerosis , clot microstructure , and AI applications in cardiology . Current studies include virtual TAVR simulations and biomechanical analysis of plaque stress . Recent collaborative work explores low-dose radiation protocols , LDL transport modeling , and anti-inflammatory effects of GLP-1 agonists , reflecting interdisciplinary approaches to cardiovascular risk mitigation. Available for postgraduate supervision , Dr. Obaid has contributed to undergraduate medical professionalism and cardiovascular physiology modules (PM-241F, PM-266).
Marie Tejero Hughes is a Professor in Special Education at the University of Illinois at Chicago , focusing on graduate literacy instruction for educators in urban communities. Her work centers on comprehension strategies for culturally/linguistically diverse students and Latino family engagement . PhD in Reading and Learning Disabilities MSEd in Elementary Education BSEd in Early Childhood/Elementary Education Her research examines: Spanish literacy interventions for English learners Teacher leadership in special education MTSS/PBIS implementation in high-need schools Latinx family perspectives on autism education Coaching models for literacy development Recent publications highlight: Teacher leadership frameworks Bilingual literacy outcomes Latinx family expertise in math education Parent training programs in Colombia Technology-enhanced play interactions She has directed multiple US Department of Education grants focused on special education teacher recruitment and retention, and frequently collaborates with Colombian researchers on autism family support systems.
Matt Russell is a PhD candidate in Computer Science at Tufts University, focusing on Brain-Computer Interfaces (BCI) within the Human-Computer Interaction Lab. His research emphasizes measuring mental workload via fNIRS and EEG, with applications in LLM-based interfaces and BCI design. He has taught Data Structures (C++) twice as a professor and served as a teaching assistant for multiple computer science courses. His work bridges neuroscience and engineering to enhance adaptive interface technologies. Education: PhD Candidate in Computer Science, Tufts University Research Interests: Russell’s multidisciplinary research explores implicit BCI design, mental workload analysis, and neuroergonomics. Key areas include fNIRS/EEG-based state classification, LLM interface integration, and real-time BCI systems for memory enhancement. His studies often involve human subject trials to evaluate cognitive and physiological responses. Publications: His articles span 2011 to 2025, focusing on neuroimaging techniques (fNIRS/EEG), BCI innovation, and HCI applications. Recent work explores AI collaboration impacts and low-cost EEG systems for cognitive task decoding. Teaching & Advising: Russell has instructed Data Structures (C++) and supported courses in graphics, cybersecurity, and concurrency. He actively contributes to pedagogical efforts in computer science education. Labs & Projects: His research is conducted in the Human-Computer Interaction Lab at Tufts, with open-source projects hosted on GitHub.
Dr. Erika Leal is an Assistant Professor in the Department of Computer Science at Baylor University, where she teaches cybersecurity and advises the Cyber@Baylor student organization. She also serves as the Director of Research and Development for the Central Texas Cyber Range, contributing to regional cybersecurity infrastructure and education. Her research focuses on innovative approaches to malware analysis, particularly leveraging hardware performance counters to detect and unpack obfuscated malware. She integrates hardware-assisted techniques with machine learning to improve the detection of packed binaries and enhance software security in high-performance computing environments. Dr. Leal's recent publications demonstrate a consistent focus on hardware-based malware detection, binary analysis, and high-performance computing security, with contributions to top-tier conferences such as USENIX Security and IEEE HOST. Her work bridges low-level system behavior with practical security solutions. She actively contributes to the academic community through service as a Technical Program Committee member for SC23 and SC24, Session Chair at ICISSP 2023, and Diversity Chair for SC22. She also mentors the Baylor Cybersecurity Team in national competitions including CCDC and NCL. Dr. Leal earned her Ph.D. in Computer Science from Tulane University and the University of Texas at Arlington, advised by Dr. Jiang Ming, and holds a Bachelor’s in Computer Science with a minor in Business Administration from Texas Wesleyan University. She currently advises one Ph.D. student, Abanisenioluwa Orojo, and has served as an external reviewer for journals and conferences including ACM Computing Surveys and CCS. Her leadership extends beyond research into developing cybersecurity talent and promoting diversity in computing.
June P Tangney is a Professor in the Psychology Department at George Mason University, specializing in moral emotions , self-control , and criminology . Her work bridges clinical psychology and corrections, focusing on interventions for incarcerated populations. Education : PhD in Clinical Psychology from UCLA Her research explores the interplay between shame/guilt dynamics , substance misuse , and recidivism , with recent studies on mindfulness-based interventions and computer-assisted jail programs . She has pioneered tools like the Mindfulness Inventory: Nine Dimensions and the Criminogenic Cognitions Scale . Key article trends show her work spans 2014-2025 , with subtopics including borderline personality disorder in correctional settings, family contact during incarceration , and self-stigma in offenders. Funding sources include NIDA, NICHD, NSF, and the John Templeton Foundation. Awards : International Society for Self and Identity Distinguished Lifetime Career Award Fellow of Association for Psychological Science Fellow of APA Division 8 (Personality & Social Psychology) George Mason University Teaching Excellence Award As Editor of Self & Identity and former Associate Editor of American Psychologist , she has mentored numerous students (e.g., Sajida Yasmeen, Shannon Schrader) and co-authored major texts like Shame and Guilt and Shame in the Therapy Hour . Her lab integrates social-clinical-community perspectives to develop restorative justice interventions .
Stephen Terry is an Associate Professor of Economics at the University of Michigan's College of Literature, Science, and the Arts. He is also a Research Associate at the National Bureau of Economic Research (NBER) and serves as Co-Editor of the Review of Economics and Statistics. His research focuses on macroeconomics, particularly firm investment and the impact of micro-level frictions on long-term growth and business cycles. Dr. Terry received his PhD in Economics from Stanford University in 2015. Prior to joining the University of Michigan, he served as an Assistant Professor at Boston University. Professor Terry's research spans several key areas in macroeconomics, with a particular emphasis on understanding how micro-level frictions affect macroeconomic outcomes. His work investigates firm investment behavior, economic growth dynamics, and business cycle fluctuations. He employs both theoretical models and empirical analysis to examine how factors like uncertainty, immigration, innovation, and financial constraints shape economic performance at the aggregate level. His research often bridges micro and macroeconomic perspectives to provide deeper insights into economic mechanisms, with special attention to how short-term phenomena can have long-term consequences for economic growth. Analysis of Professor Terry's recent publications reveals a consistent focus on macroeconomic dynamics, particularly the relationship between micro-level frictions and macroeconomic outcomes. His work spans topics including economic uncertainty, firm dynamics, innovation, immigration effects, and business cycle analysis. A notable trend is his examination of how short-term phenomena can have long-term economic consequences, as seen in his research on short-termism and its macroeconomic impact. His collaborative work with leading economists across various institutions demonstrates the interdisciplinary nature of his research. Professor Terry has earned significant recognition in his field: Research Associate, National Bureau of Economic Research (NBER) Co-Editor, Review of Economics and Statistics As an academic advisor, Professor Terry has mentored numerous PhD and Master's students in economics. His research has been supported by various grants that have enabled extensive empirical analysis and theoretical modeling. His work on economic uncertainty, firm dynamics, and growth mechanisms has contributed significantly to our understanding of macroeconomic phenomena. Professor Terry actively collaborates with researchers across institutions, fostering interdisciplinary approaches to economic questions, and frequently participates in academic discussions at major conferences including the NBER Summer Institute. Professor Terry is affiliated with several research groups at the University of Michigan, including the Research Seminar in Quantitative Economics (RSQE). His work connects with various subfields within economics, particularly Macroeconomics, and contributes to ongoing research in economic growth, business cycles, and firm dynamics. His position as Co-Editor of the Review of Economics and Statistics places him at the forefront of scholarly communication in economics.
Dr. Robert Verity is an Assistant Professor in the School of Public Health at Imperial College London, affiliated with the Faculty of Medicine. His research focuses on malaria parasite genetics, particularly using molecular surveillance to understand transmission dynamics. He leads projects like the SIMPLEGEN pipeline funded by the Bill and Melinda Gates Foundation, aiming to optimize resource use in malaria research. His work integrates spatial data analysis, Bayesian methods, and population genetics to address global health challenges. During the pandemic, he contributed to early estimates of COVID-19 fatality rates as part of the Imperial College response team. Key affiliations: Imperial College Network of Excellence in Malaria, MRC Centre for Global Infectious Disease Analysis Current projects: Molecular inversion probes analysis in DRC, malaria drug resistance quantification Research interests include Plasmodium falciparum population structure, antimalarial resistance mechanisms, and spatial epidemiology. His work bridges field data collection with advanced computational methods to inform public health strategies.
Aurora Munguía-López is a Visiting Assistant Professor in the Department of Chemical and Biological Engineering at the University at Buffalo , where she leads the Sustainable Systems Engineering Laboratory . Her research focuses on developing computational tools to address sustainability challenges in plastics recycling, waste management, clean energy technologies, and manufacturing processes. PhD in Chemical Engineering (2021), University of Michoacán MSc in Chemical Engineering (2017), Technological Institute of Celaya BSc in Chemical Engineering (2014), Technological Institute of Celaya The laboratory specializes in multi-scale process design , technology pathway analysis , sustainable supply chains , and environmental/social justice , with applications spanning plastics recycling, clean energy systems, and food/pharmaceutical/textiles manufacturing. Recent work includes solvent-based recycling frameworks and techno-economic analyses for waste valorization. The Sustainable Systems Engineering Laboratory actively engages undergraduate researchers through programs like PRACTICE-REU , UB SURP , and NSF-funded projects. Prof. Munguía-López has presented at industry conferences such as Plastics In Composites and Lightweighting 2025 and FlexPackCon 2025 .
