Sudin Bhattacharya is an Associate Professor at the BioMolecular Science Gateway, Michigan State University, with affiliations in the Genetics & Genome Sciences Program and Cell & Molecular Biology Program. His research bridges computational biology and toxicology to understand complex biological systems. Email: sbhattac@msu.edu Research Interests Dr. Bhattacharya specializes in systems toxicology, focusing on computational modeling of gene regulatory networks, single-cell transcriptomics, and molecular dynamics in response to environmental toxicants. His work examines how chemical exposures disrupt cellular pathways and contribute to disease mechanisms. Article Trends His recent publications emphasize: Single-cell and single-nucleus RNA sequencing for toxicological profiling Computational models of circadian rhythms and intercellular communication Dose-dependent responses to environmental chemicals like TCDD and heavy metals Mechanistic studies of adipose tissue remodeling and hypertension Applications of machine learning in chemical risk assessment Integrative approaches to liver metabolism and disease modeling Scientific Contributions Dr. Bhattacharya has pioneered multiscale modeling of biological systems, particularly in hepatic and vascular contexts. His work on the aryl hydrocarbon receptor and PPARα signaling networks has advanced predictive toxicology frameworks.
Gianfranco Anfora is a Full Professor at the University of Trento, affiliated with both the Department of Civil, Environmental and Mechanical Engineering and the Center Agriculture Food Environment (C3A), where he serves as Deputy Dean. His research focuses on agricultural entomology, biological control, and sustainable pest management. Key expertise areas include integrated pest control, semiochemicals, and viticulture-related challenges. Anfora teaches courses on biopesticides, vine protection, and eco-sustainable management of invasive species. His research emphasizes vibrational communication in pests like Halyomorpha halys and Drosophila suzukii, exploring non-chemical control strategies such as sterile insect techniques and biological control agents. Collaborative projects include classical biological control programs targeting invasive species in vineyards and果园. Anfora’s work often bridges ecology and applied pest management, addressing climate and landscape impacts on agricultural practices. Recent studies highlight innovations in vibrational mating disruption, substrate-borne signaling, and radiation effects on pest behavior. His contributions aim to balance productivity, environmental sustainability, and regulatory compliance within agri-food systems. No scientific awards are explicitly mentioned, but his extensive publication record reflects significant contributions to entomological and agricultural research.
Claudia Wagner is a full professor for Applied Computational Social Sciences at RWTH Aachen University and the Scientific Director of the Computational Social Science department at GESIS—Leibniz Institute for the Social Sciences. She is also an External Faculty member at the Complexity Science Hub Vienna. Her work bridges computer science and the social sciences to study algorithmic systems and their societal impacts. Her research focuses on socio-technical phenomena such as inequality, sexism, and perception bias in algorithmically infused societies. She investigates methodological challenges in using digital behavioral data to study human behavior, attitudes, and group dynamics. Her interests span computational social science, algorithmic fairness, network science, and AI ethics. The analysis of her recent publications reveals a strong emphasis on bias, fairness, and methodological rigor in digital data analysis. Her work spans AI psychometrics, gender inequality in online platforms, and validation frameworks for digital traces. She frequently publishes in top-tier venues such as Nature , Science , and AAAI conferences. DOC-fFORTE fellowship from the Austrian Academy of Sciences Four best paper awards at international conferences (ICWSM, CSCW, WWW, AAAI) Associate Editor, EPJ Data Science Steering Committee Member, International AAAI Conference on Web and Social Media Board Member, International Society for Computational Social Science Claudia Wagner has led and co-led substantial research projects funded by national and international agencies. She mentors a diverse group of PhD students working on topics like algorithmic bias, data quality, and dehumanization. She has organized training events such as the CSS Methods Summer School and delivered keynotes globally on inequality and computational social science. She leads the Computational Social Science department at GESIS and collaborates with interdisciplinary teams at RWTH Aachen and the Complexity Science Hub. Her group develops tools for measuring algorithmic impacts and visualizing disparities in socio-technical systems, such as the 'Planets of Disparity' dashboard.
Alexandre Poulain is a Full Professor in the Department of Biology at the University of Ottawa and Vice Dean for Research and Infrastructure in the Faculty of Science. His multidisciplinary research bridges biogeochemistry, microbial physiology, and environmental toxicology. Education: B.Sc. (Angers, France), M.Sc. (INRS, Canada), Ph.D. (Université de Montréal, Canada), Postdoc (MIT, USA) Research Interests: Mercury cycling in Arctic and temperate ecosystems, microbial metal transformations, biosensor development for contaminants, redox reaction dynamics, bioremediation using environmental microbes, and mercury-organic matter interactions. His lab (2017-2025) has produced 15 recent publications on mercury biogeochemistry in oil sands, rice paddies, and Arctic lakes, alongside arsenic speciation studies and pesticide impacts on pollinators. Current students explore archaeal mercury regulators, acidothermophilic biosensors, and microbial remediation. Scientific contributions include: NSERC Postdoctoral Fellowship (2007-2009) Co-PI on Microbright, a startup commercializing microbial water treatment Developed portable arsenic biosensor tested in Cambodia Co-edited mercury-climate synthesis in Nature Communications
Dr. Jake O'Brien is a Senior Research Fellow at the Queensland Alliance for Environmental Health Sciences (QAEHS) within the University of Queensland. He holds an NHMRC Emerging Leadership Fellowship and serves as Chair of the EMCR@UQ Committee. His work focuses on wastewater-based epidemiology, antimicrobial resistance, and environmental chemical exposure assessment. O'Brien co-leads the National Wastewater Drug Monitoring Program and has contributed to understanding pharmaceutical impacts on wastewater systems. His research spans analytical chemistry, environmental toxicology, and public health, with particular emphasis on antimicrobial resistance gene mobility and plastic pollution in air/water matrices. Key research areas : Wastewater-based epidemiology, antimicrobial resistance surveillance, plastic pollution, pharmaceutical fate in environment Techniques : High-resolution mass spectrometry, non-target screening, in-sewer stability analysis O'Brien's recent publications examine antidepressant correction factors, tobacco product monitoring, and antimicrobial resistance gene dynamics. He has advised over 15 PhD students on topics including microplastics in biosolids, SARS-CoV-2 wastewater tracking, and novel psychoactive substance detection. Scientific Awards NHMRC Emerging Leadership Fellowship His team's work impacts national drug policy evaluation, environmental health monitoring, and wastewater treatment regulations.
Zakir Durumeric is an Assistant Professor of Computer Science at Stanford University, leading the Stanford Empirical Security Research Group. His research focuses on Internet security, trust, and safety, emphasizing large-scale network measurement and open-source tool development. He founded Censys, a platform providing global Internet device data, and maintains tools like ZMap, ZGrab, and Retina. Research interests include cybercrime prevention, censorship analysis, disinformation tracking, and platform governance for online harassment. Notable contributions include studies on the Mirai botnet, TLS certificate ecosystems, and vulnerabilities like Heartbleed and Logjam. Awards include the IRTF Applied Networking Research Prize (2015) and a Test of Time Award (2022). Teaches courses: CS155 (Computer & Network Security), CS356 (Systems & Network Security), and CS249i (Modern Internet). Advises over 20 students, including Catherine Han, Kimberly Ruth, and Liz Izhikevich. Develops open-source software such as ZMap Toolkit and ASdb, and maintains datasets like CrUX Top Million Websites. Recent work explores toxic online behavior, misinformation ecosystems, and regional censorship mechanisms in China. His lab’s tools are widely adopted in academia and industry for security research and policy guidance.
Johanna Pirker serves as an Associate Professor at the Institute of Human-Centred Computing, Graz University of Technology, where she holds teaching authorization in Applied Computer Science. Her work bridges academic research with practical applications in interactive technologies, maintaining active consultation hours for students every Monday morning. Her research centers on human-centered computing with emphases on virtual/augmented reality systems, serious game design, and AI-driven interactive experiences. She investigates player behavior, user experience optimization, and therapeutic/educational applications of immersive technologies across diverse contexts including rehabilitation, engineering education, and social platforms. Recent 2025 publications reveal strong trends in AI integration for gaming ecosystems (toxicity detection, dialogue systems), VR-based educational tools across disciplines, and cross-cultural analyses of gaming communities. Her work consistently combines experimental user studies with novel system development to address real-world challenges. While specific grant details and student advising records aren't documented in source materials, her extensive publication output across venues like FDG and iLRN indicates active leadership in interdisciplinary collaborations focused on advancing immersive technologies for societal benefit.
R. Michael Alvarez , Flintridge Foundation Professor of Political and Computational Social Science at Caltech, is a leading scholar in election technology, political methodology, and machine learning applications in social science. Affiliated with the Caltech/MIT Voting Technology Project , the Social and Decision Neuroscience Program , and the Resnick Sustainability Institute , his work bridges technology and democracy. Education: B.A. from Carleton College, Ph.D. from Duke University Academic Career: Caltech faculty since 1992 His research spans: Election Integrity : Monitoring election security, fraud detection, and ballot systems Computational Social Science : Applying machine learning to voter behavior and policy analysis Climate Policy : Examining public attitudes and behavioral interventions for sustainability Online Behavior : Analyzing toxicity in gaming and social media dynamics Key article trends show focus on election forensics (2025 Nature Climate Change study), game toxicity analysis (2025 CHI Play paper), and LLM applications in social science. His students include Jacob Morrier, Mitchell Linegar, and teams of postdocs and undergraduates in Caltech's SURF program. Scientific recognition includes: Google Cloud Research Innovators Class of 2022 Co-editor of multiple academic series including Cambridge Elements in Quantitative Methods
Chris Russell is the Dieter Schwarz Associate Professor of AI, Government & Policy at the Oxford Internet Institute (OII), University of Oxford. His work bridges computer vision, machine learning, and ethical AI governance. He leads the Governance of Emerging Technologies programme, focusing on algorithmic accountability, transparency, and fairness. Prior roles include Group Leader at the Alan Turing Institute and Reader at the University of Surrey. Russell’s research has been recognized with awards, including the ICRA Best Paper Prize for autonomous driving mapping work. Research interests span algorithmic fairness, explainable AI, and responsible AI design. Notable projects include collaborations with the British Antarctic Foundation on climate modeling and causal approaches to algorithmic fairness. His work with Sandra Wachter and Brent Mittelstadt informs GDPR guidelines and tools like TensorFlow’s 'What-if Tool.' Current projects include advancing medical machine learning for inflammatory arthritis prediction and governance frameworks for emerging tech. Russell advises PhD students on socio-technical AI evaluations and teaches courses in machine learning and AI ethics. Recent publications address deepfake proliferation, LLM regulation, and fairness in foundational models. He co-leads initiatives like the Digital Good Network to align tech development with societal benefit.
Derry Wijaya is an Associate Professor and Program Coordinator for the Data Science Program at Monash University Indonesia. She also co-directs the Monash Data and Democracy Research Hub, focusing on analyzing data's impact on democracy. Previously, she served as an Assistant Professor at Boston University's Department of Computer Science. Her research spans multilingual NLP, low-resource language technologies, and combating AI-driven misinformation. Education: PhD in Language Technologies, Carnegie Mellon University (2013) Postdoctoral Fellowship, University of Pennsylvania (2013–2015) Bachelor's & Master's in Computing, National University of Singapore Research Interests: Improving language model performance via self-consistency and reasoning Analysis of bias, toxicity, and framing in AI outputs Preservation of Indonesian indigenous scripts and languages Development of tools like OpenFraming AI for multilingual framing analysis Recent Work Trends: Her publications (2023–2025) emphasize ethical AI, low-resource language solutions, and social media analysis. Notable contributions include frameworks for metric calibration (MetaMetrics), debiasing generative models, and surveys on Indonesian language technology needs. Awards & Roles: Fulbright Scholarship recipient Serves on program committees for ACL, EMNLP, NeurIPS, and ICLR Co-created OpenFraming AI for multilingual framing analysis Grants & Labs: Leads the Monash Data and Democracy Hub, focusing on tech's societal impact. Active in grant-funded projects preserving Indonesia's linguistic heritage through digitization efforts.
Amber Doiron is an Assistant Professor and Graduate Program Director in the Department of Electrical and Biomedical Engineering at the University of Vermont (UVM), part of the College of Engineering and Mathematical Sciences. Her research focuses on developing biomaterials and nanotechnology solutions for drug delivery systems, wound care, and MRI contrast agents. Applications include combating bacterial biofilms, detecting inflammation, and studying nanoparticle-cell interactions. Doiron holds an M.S. and Ph.D. in Biomedical Engineering from the University of Texas at Austin. She completed her postdoctoral training as the T. Chen Fong Fellow in Radiology and Chemical Engineering at the University of Calgary. She also served as Chief Scientific Officer at NanoPulse Biosciences, a startup developing gold nanoparticle biomedical applications. Her research interests span biomaterials design, nanomedicine, and translational applications. Key areas include drug delivery mechanisms, magnetic resonance imaging contrast agents, and strategies to disrupt biofilm infections. She actively integrates education through courses like BME 5150 (Nanobiomaterials) and BME 2050 (Materials and Transport). Recent work explores nanoparticle-based inflammation detection, synergistic antimicrobial therapies, and cerebrovascular effects of nanoparticles. Her lab investigates ROS generation in biofilm control and metabolite-depleting materials for anti-biofilm strategies, supported by grants like the NSF CAREER award. Doiron’s educational initiatives include project-based learning approaches and STEM outreach programs aimed at expanding gender diversity in engineering. Her lab’s interdisciplinary focus bridges materials science, biomedical applications, and clinical translation.
Christopher P. Higgins serves as Professor and AMAX Distinguished Chair in the Department of Civil and Environmental Engineering at the Colorado School of Mines, a position he attained in 2025 following his 2022 designation as University Distinguished Professor. Joining Mines in 2009, he leads critical research on environmental contaminants with emphasis on poly- and perfluoroalkyl substances (PFASs) in natural and engineered systems. His educational foundation includes: PhD in Civil and Environmental Engineering from Stanford University (2007) MS in Civil and Environmental Engineering from Stanford University (2002) AB in Chemistry from Harvard University (1998) Dr. Higgins' research program investigates chemical fate and transport mechanisms, particularly PFAS movement through soils and water, human exposure pathways, and remediation technologies. His work integrates field studies, laboratory experiments, and mathematical modeling to address: PFAS leaching dynamics in vadose zones Advanced treatment methods for contaminated media Exposure assessment via water, food, and indoor environments Environmental risk characterization at contaminated sites His recent publications demonstrate increasing focus on analytical method development, source identification, and destruction technologies for ultrashort-chain PFAS compounds. Notable recognitions include: ASCE Huber Prize for Civil Engineering Research (2019) SERDP Environmental Restoration Project of the Year (2020) Honorary Professorship at The University of Queensland, Australia His research program has secured substantial funding from NSF, NIH, EPA, USDA, and DoD, supporting interdisciplinary collaborations and graduate student mentorship. Current initiatives emphasize translating laboratory findings to field applications through partnerships with regulatory agencies and industry stakeholders. Dr. Higgins directs the Center for Environmental Risk Assessment and co-leads the PFAS@Mines Initiative, which coordinates campus-wide research on PFAS contamination through integrated experimental, computational, and policy-focused approaches.
Pradeep Lall is the MacFarlane Endowed Distinguished Professor and Alumni Professor in the Department of Mechanical Engineering at Auburn University’s Samuel Ginn College of Engineering. He serves as Director of the Auburn University Electronics Packaging Research Institute (EPRI) and holds a joint courtesy appointment in the Department of Electrical and Computer Engineering. A leader in flexible hybrid electronics and harsh environment systems, Dr. Lall has built a world-renowned research program focused on additive manufacturing, electronics reliability, and sustainable materials. Ph.D. in Mechanical Engineering, University of Maryland M.B.A. in Finance and Strategy, Northwestern University M.S. in Mechanical Engineering, University of Maryland B.E. in Mechanical Engineering, Delhi College of Engineering Dr. Lall’s research centers on Flexible Hybrid Electronics (FHE) , Harsh Environment Electronics , Semiconductor Packaging , and Prognostics Health Management . His work leverages additive manufacturing techniques such as Aerosol-Jet, InkJet, and screen printing to develop conformal, robust, and sustainable electronic systems. His innovations include the Flexible Biometric Band for monitoring workers in hazardous environments and additively printed antennas for aerospace applications. His recent focus includes eliminating PFAS from electronics and developing water-based inks for eco-friendly manufacturing. The 15 most recent publications reflect a strong trend toward sustainability , additive manufacturing , and real-world applications in defense, aerospace, automotive, and healthcare. His work bridges fundamental research with industrial realization, particularly through partnerships with NextFlex and federal agencies. Themes include reliability under shock and vibration, sensor development for extreme environments, and workforce training in advanced manufacturing. Dr. Lall has received numerous scientific honors, including: SMTA Founder’s Award (2024) SEMI FlexTech R&D Achievements Award (2023) ASME Avram Bar-Cohen Memorial Medal (2022) IEEE Biedenbach Outstanding Engineering Educator Award (2020) IEEE Sustained Technical Contributions Award (2018) NSF Alex Schwarzkopf Prize (2016) Fellow of ASME, IEEE, NextFlex, and Alabama Academy of Science Dr. Lall has secured over $2 million in annual research funding from SRC, NSF, and NextFlex, leading large-scale projects on sustainable electronics and workforce development. He mentors numerous graduate and undergraduate students and leads the NSF-CAVE3 Center. As founding faculty advisor of the SMTA student chapter, he promotes student engagement in electronics manufacturing. His lab, EPRI, features a full prototyping line for additive electronics and collaborates with industry and government to advance domestic manufacturing capabilities. EPRI, under Dr. Lall’s leadership, partners with the Auburn University Research and Technology Park, the Office of Economic Development, and multiple colleges to drive technology commercialization and workforce education in electronic packaging. The institute is at the forefront of the national effort to reestablish U.S. leadership in semiconductor packaging and advanced electronics manufacturing.
Maarten Sap is an Assistant Professor at Carnegie Mellon University's Language Technologies Institute with a courtesy appointment in the Human-Computer Interaction Institute. He also holds a part-time research scientist position at the Allen Institute for AI (AI2) as an AI safety lead. Current affiliations: CMU (2022–present), AI2 (2022–present) Prior: Postdoctoral Researcher at AI2 (2021–2022), Research Intern at AI2 (2018–2019) and Microsoft (2019) His research focuses on enhancing AI systems with social intelligence and addressing social biases in language technology. Key themes include: Ethical AI and Human-Centric Design Narrative Dynamics and Social Context Analysis AI Agents and Social Intelligence Toxic Language Detection and Cultural Bias Mitigation Recent publications examine: AI safety frameworks like HAICOSYSTEM Clinical reasoning alignment (ALFA) Multilingual moderation (PolyGuard) Cultural sensitivity in non-verbal AI (Mind the Gesture) Personality shaping in LLMs (BIG5-CHAT) Scientific Recognition: 2025 Okawa Research Grant Best Paper Runner Up - NAACL 2025 Outstanding Paper - EMNLP 2023 Best Paper - FAccT 2023 Best Paper - WeCNLP 2020 He advises a diverse group of PhD students across CMU and MIT, and has served on multiple program committees including ACL, EMNLP, and FAccT. His work appears in top venues like Nature Machine Intelligence, PNAS, and ACL.
Associate Professor Jenni Ilomaki holds a position at Monash University's Centre for Medicine Use and Safety. With expertise in clinical pharmacy, epidemiology, and public health, she leads a research group analyzing administrative claims data. Her work spans collaborations with governmental and non-governmental organizations globally, yielding over 150 peer-reviewed publications and $4 million in grants. She previously served as Chair of ASCEPT's Pharmacoepidemiology Special Interest Group and currently serves as Science Lead for the Monash Addiction Research Centre and Executive Editor of the British Journal of Clinical Pharmacology. Education includes a Bachelor of Science (Pharmacy) from the University of Kuopio (1999) and Master of Science (Pharmacy) from the University of Kuopio (2004). She completed a PhD in alcohol epidemiology at the University of Eastern Finland (2011) and a postdoc at the University of South Australia (2011-2014). Notable recognitions include Young Epidemiologist of the Year (2011) and the Ronald D. Mann Best Paper Award (2021). Key research focuses on quality use of medicines, medicine safety, large population studies, and innovative epidemiological methods. Major projects include developing clinical decision support tools for cardiovascular prevention, analyzing preventable hospitalizations in aged care, and investigating psychotropic medication trends in youth. Her work contributes to UN Sustainable Development Goals related to health equity and non-communicable disease reduction. Recent publications emphasize drug repurposing (e.g., SGLT2 inhibitors), opioid prescribing patterns, hip fracture outcomes, and dementia detection algorithms. She chairs multinational studies on stroke and myocardial infarction cost burdens, demonstrating interdisciplinary impact across pharmacology, epidemiology, and health economics.
