Find Academic Supervisors

Deepak NagrathView profile

Professor

• Cancer Metabolism
• Tumor Microenvironment
• Systems Biology
• +4 more

Deepak Nagrath is a Professor of Biomedical Engineering at the University of Michigan's College of Engineering, affiliated with the Biointerfaces Institute. His lab focuses on systems biology approaches to understand cancer metabolism and tumor microenvironment interactions. Key research areas include metabolic flux analysis, collateral lethal target identification (CLIM platform), and developing precision therapies using circulating tumor cell organoids. The lab integrates machine learning with genomic data to model metabolic dependencies in cancers like pancreatic, lung, and brain tumors. Education details are not explicitly stated in the provided text, but Dr. Nagrath's work emphasizes interdisciplinary training at the intersection of engineering, biology, and computational science. His lab's research highlights include: Metabolic systems biology of human diseases Extracellular vesicle-mediated metabolic crosstalk Microfluidic platforms for tumor organoid generation Machine learning-driven metabolic flux analysis Research interests center on dissecting how tumor microenvironments modulate cancer cell metabolism, with a focus on developing therapies targeting metabolic vulnerabilities. Recent advancements include metabolic modeling of brain cancers and digital twin technology for personalized therapy. Notable projects include the CLIM platform for identifying collaterally lethal genes in ovarian cancer and the development of the ExoSponge device for exosome isolation. The lab collaborates with clinical teams to translate findings into therapies for metastatic cancers and liver diseases. Grant activities involve NSF funding (e.g., Ajay Shankaran's Graduate Research Fellowship) and partnerships with industry for device commercialization. The lab is part of the Biointerfaces Institute, fostering collaborations in biomaterials and regenerative medicine.

Erica MusserView profile

Assistant Professor

• Neurodevelopmental Disabilities
• ADHD
• Autism Spectrum Disorders
• +7 more

Erica Musser is an Assistant Professor in the Department of Neuroscience & Behavior and Psychology at Barnard College. Her research focuses on neurodevelopmental disabilities, particularly ADHD and Autism Spectrum Disorder (ASD), with an emphasis on improving clinical assessment, diagnosis, and neuroaffirming care through interdisciplinary approaches. Her work integrates psychological, physiological, and neuroimaging methodologies to understand the heterogeneous nature of these conditions. Dr. Musser’s research interests include emotion regulation, autonomic nervous system functioning in neurodevelopmental disorders, and the development of evidence-based interventions. She has pioneered studies examining biomarkers for ADHD subtyping and the role of early physiological markers (e.g., heart rate variability) in predicting neurodevelopmental outcomes. Her collaborations extend to global initiatives like the Psychological Science Accelerator, addressing challenges such as pandemic-related mental health and cross-cultural moral cognition. Her recent work emphasizes translational research, bridging clinical needs with basic science. Key contributions include studies on the neurobiological underpinnings of ADHD and ASD, the impact of acculturation on mental health in Hispanic/Latinx populations, and the application of virtual human simulations in clinician training. While no specific awards are listed, her extensive publication record reflects recognition in developmental psychopathology and clinical neuroscience. Dr. Musser’s lab focuses on innovative methodologies, including advanced neuroimaging (fMRI), psychophysiological assessments, and large-scale longitudinal data analysis. She collaborates with institutions worldwide to advance understanding of neurodevelopmental disorders and improve clinical care for affected individuals.

Wandi DingView profile

Professor

• Mathematical Biology
• Optimal Control
• Computational Biology
• +7 more

Dr. Wandi Ding is a Professor in the Department of Mathematical Sciences and M.S. Graduate Program Advisor at Middle Tennessee State University (MTSU), affiliated with the College of Basic and Applied Sciences. She holds leadership roles in the Computational and Data Sciences Ph.D. Program, Honors College, and MTSU’s Quantum Initiative. Her research focuses on mathematical biology, optimal control, and interdisciplinary applications in disease modeling, quantum computing, and STEM education. She has received the Distinguished Research Award (2019) and secured NSF grants totaling over $250,000 for projects including the REU Site in Computational Modeling and the ADVANCE IT-Catalyst program to promote women in STEM. Education: Ph.D. (2006, University of Tennessee, Knoxville), M.S. (2001, Ocean University of China), B.S. (1998, Qingdao University). Research interests span mathematical biology (population dynamics, disease control), computational methods (machine learning, quantum computing), and education innovations. Key projects include malaria modeling with SIT/ITN strategies, SARS-CoV-2 immune response modeling, and quantum biology applications. She co-leads the Association for Women in Science (AWIS) TN Chapter and organizes conferences like the Shanks Workshop on Mathematical Biology (2023) and AAAI Fall Symposium on Equitable Global Health (2024). Grants include NSF awards for disease modeling workshops and undergraduate research programs, plus travel grants from SIAM, SMB, and AWM. Her work bridges theoretical mathematics with real-world applications in health, ecology, and quantum science. Labs/Teams: Member of the Canadian Center for Disease Modeling (CCDM) and MODELS of Infectious Disease Agent Study (MIDAS). Co-directs SIMIODE’s national modeling initiatives and chairs editorial boards for journals like International Journal of Computer Mathematics and PRIMUS .

Kayden JordanView profile

Assistant Professor

• Political Psychology
• Natural Language Processing
• Political Communication
• +3 more

Dr. Kayden Jordan is an Assistant Professor of Social Analytics at Harrisburg University of Science and Technology. Their research focuses on language analysis to understand psychological processes in politics, culture, and healthcare. They hold a Ph.D. in Social-Personality Psychology from the University of Texas at Austin, an M.A. in Experimental Psychology from Missouri State University, and a B.S. in Psychology and History from Evangel University. Dr. Jordan's work emphasizes quantitative, automated language analysis for exploring large textual datasets. Key areas of interest include gender bias in healthcare perceptions, political rhetoric's impact on public attitudes, and the application of Natural Language Processing (NLP) to social science questions. They have published extensively on topics ranging from meme virality to linguistic trends in gout-related online discussions. Teaching responsibilities include advanced analytics courses such as Natural Language Processing, Research Methodology, and Doctoral Research Seminars. While no scientific awards are explicitly listed, their interdisciplinary approach bridges psychology, computer science, and political science. Collaborations with students and researchers focus on NLP applications in real-world contexts, including Twitch moderation strategies and historical political discourse analysis. Dr. Jordan leads a vibrant research program supported by Harrisburg University's academic infrastructure, emphasizing methodological innovation and societal impact.

• Big Data
• Machine Learning
• Distributed Systems
• +6 more

Sonia Ikken Benali is a Researcher-Lecturer at CESI (Lille, France), affiliated with the Engineering and Numerical Tools research team. Her work focuses on Big Data, Machine Learning, Distributed Systems, Business Intelligence, and Optimization Problems. She teaches courses in Data Storage/Processing, Business Intelligence, and Operations Research at the Integrated Preparatory Program and Engineering Program levels. Education : Ph.D. in Efficient Placement Design for Big Data in Clouds (Télécom SudParis - Institut Mines-Télécom - Pierre and Marie Curie University, 2018) M.Sc. in Networks and Distributed Systems (Abderrahmane Mira University, Algeria, 2011) State Engineer in Advanced Information Systems (Abderrahmane Mira University, 2010) Her research emphasizes optimizing cloud storage efficiency, cost reduction in distributed systems, and scheduling algorithms for big data workflows. Key contributions include collaborative cloud storage frameworks and Markov model-based I/O scheduling for MapReduce tasks. Lab/Team : Part of the Engineering and Numerical Tools research group at CESI, focusing on practical applications of advanced computational methods.

Dmitry LyumkisView profile

Associate Professor

• Structural Biology
• Virology
• Cryo-Electron Microscopy
• +3 more

Dmitry Lyumkis, PhD is an Associate Professor at the Salk Institute for Biological Studies, holding the Hearst Foundation Developmental Chair. He leads the Lyumkis Lab within the Laboratory of Genetics, focusing on structural biology using cutting-edge cryo-electron microscopy (cryo-EM) to study macromolecular assemblies involved in diseases like HIV and cancer. His research emphasizes understanding protein structures to develop therapeutic strategies. Education: Bachelor of Science (BS) in Biochemistry from the University of California, San Diego Doctor of Philosophy (PhD) in Structural Biology from The Scripps Research Institute Research Interests: Lyumkis specializes in cryo-EM to visualize molecular machines such as HIV integrase, ribosomes, and CRISPR-Cas enzymes. His work bridges structural insights with functional mechanisms, particularly targeting viral integration processes and drug resistance. Recent studies include the structural basis of HIV integrase inhibitors and the role of nucleosome engagement in protein dynamics. Publications & Awards: Over 100 peer-reviewed articles highlight his contributions to structural biology. Notable honors include the NIH Director’s Early Independence Award (2015), NSF CAREER Award (2020), and the 2024 ACA Margaret C. Etter Early Career Award. His lab collaborates extensively with institutions such as UC San Diego and The Scripps Research Institute. Advising & Grants: Lyumkis mentors PhD students and postdocs, fostering interdisciplinary research. His funding includes grants from NIH, NSF, and the Helmsley Foundation. Ongoing projects focus on HIV resistance mechanisms, ribosome assembly, and CRISPR-Cas13d RNA targeting. Labs & Facilities: The Lyumkis Lab leverages state-of-the-art cryo-EM equipment, including FEI Titan Krios and Thermo Fisher Aquilos systems, integrated with the Salk Institute’s Waitt Biophotonics Facility. Collaborations span structural biology, virology, and computational modeling.

• Judgment and Decision Making
• Workplace Behavior
• Personnel Selection
• +3 more

Dr. Scott Highhouse is a Professor in the Department of Psychology at Bowling Green State University (BGSU), affiliated with the College of Arts and Sciences. He holds a B.A. from the University of Akron and a Ph.D. from the University of Missouri. His research focuses on judgment and decision making in workplace contexts, particularly examining risk-taking behaviors and resistance to hiring decision aids. Dr. Highhouse is actively involved in graduate student mentorship and teaches courses such as Human Judgment and Decision Making, Organizational Staffing, and Research Methods in I-O Psychology. His research interests include assessment of individual differences, dark triad traits in the workplace, and the psychological underpinnings of organizational staffing practices. Notable contributions include studies on general risk propensity scales, the impact of sadism measures on workplace mistreatment, and the elective use of brainteaser interview questions by employers. Dr. Highhouse has no listed lab affiliations but maintains an active publication record in journals like Industrial and Organizational Psychology and the Journal of Research in Personality. Despite no explicit mention of awards, his extensive publication history reflects sustained scholarly impact. He advocates for evidence-based hiring practices and critiques overreliance on subjective decision-making in organizational settings.

• Music Production
• Sound Engineering
• Audio Recording Techniques
• +3 more

Julius Mauranen is a Senior Lecturer at Metropolia University of Applied Sciences, specializing in Music Production and Technology. He holds a Vocational Teacher's qualification (2018), Master of Music (2014), and BA (Honours) in Sound Technology (2003). His primary role involves teaching music production and technology, along with studio engineering and entrepreneurship. He is co-founder and lead engineer at Studio Kekkonen, a renowned Helsinki-based recording facility. Affiliations: Metropolia University, Studio Kekkonen, Music 2 Team Education: BA (Honours) in Sound Technology (2003) Master of Music (2014) Vocational Teacher's qualification (2018) Research interests focus on innovative studio techniques, acoustic instrument capture, and live recording methodologies. Mauranen emphasizes analog gear integration and hybrid digital/analog workflows. His work spans genres from folk to indie rock, with notable projects including platinum-selling albums for Vesa-Matti Loiri and collaborations with artists like Olavi Uusivirta and Delay Trees. Studio Kekkonen sessions highlight his expertise in live band recordings, leakage management, and creative microphone placements. His engineering philosophy blends technical precision with artistic vision, prioritizing organic sound textures over sterile production. Labs/Teams: Studio Kekkonen serves as his primary creative hub, housing a collection of rare analog equipment and state-of-the-art digital tools. Future projects include advancing educational programs in music technology and expanding Studio Kekkonen's international collaborations.

• Biochemistry
• Cell Biology
• Virology
• +6 more

Martin McCullagh is an Associate Professor of Chemistry at Oklahoma State University (OSU), where he has held academic positions since 2020. He earned his Ph.D. in Chemistry from Northwestern University in 2010. His research focuses on molecular dynamics simulations of biomolecules, particularly flavivirus NS3 helicases, SARS-CoV-2 NSP13 helicases, and their roles in viral replication. His work integrates computational methods to study enzymatic mechanisms, allosteric regulation, and drug design. Key research areas include: viral RNA helicase structure-function relationships, ATP-driven conformational changes, and antiviral target identification. He has received grants from agencies like the National Institute of General Medical Sciences and the U.S. Army, funding projects such as 'Developing a Computational Workflow to Quantify Atomic-level Allosteric Mechanisms' (2023–2028). Teaching responsibilities include courses in physical chemistry, graduate-level research supervision, and specialized topics like 'Physical Chemistry Applications.' His research has led to over 70 peer-reviewed publications, with notable contributions to understanding helicase mechanisms and molecular simulation methodologies.

Vito CalderoneView profile

Associate Professor

• Structural Biology
• Protein Crystallography
• Bio-inorganic Chemistry
• +5 more

Vito Calderone is an Associate Professor at the University of Florence, affiliated with the Department of Chemistry and the Magnetic Resonance Center (CERM). His research focuses on structural biology, particularly the structural determination of proteins via X-ray crystallography, mitochondrial proteins, metalloproteins, and drug design. He has contributed to over 70 peer-reviewed publications with an H-index of 27 and solved more than 120 protein X-ray structures. Education & Career: Master's in Biological Sciences, University of Turin (1992) PhD in Protein Chemistry, University of Turin (1997) Postdoctoral positions at: University of Bath (1997) IGBMC Strasbourg (1997–1999) University of Padua (1999–2002) University of Siena (2002–2006) CERM, University of Florence (2006–2012) Assistant Professor, University of Florence (2012–) Current role: Associate Professor Research Interests: Structural biology of mitochondrial proteins and metalloproteins, X-ray crystallography applications in drug design, metal-mediated protein interactions. Key areas include electron transfer processes, metal trafficking in cells, and structural studies of protein complexes. Publications & Grants: Over 70 peer-reviewed articles in journals like Acta Crystallographica , Journal of Biological Inorganic Chemistry , and Journal of the American Chemical Society . His work spans structural biology, protein engineering, and antiviral drug design. Labs & Teams: Active in the Magnetic Resonance Center (CERM), collaborating on projects involving integrated structural biology techniques, NMR spectroscopy, and computational modeling.

• Molecular Motors
• DNA Repair Mechanisms
• Single-Molecule Biophysics
• +3 more

Terence Strick is a Professor at the École Normale Supérieure (ENS) within the Institut de Biologie de l'École Normale Supérieure (IBENS). His research focuses on single-molecule biophysics, particularly the study of molecular motors and DNA repair mechanisms. His team employs advanced techniques like nanomanipulation and fluorescence microscopy to investigate DNA transcription, replication, and repair. Strick's work addresses critical questions about genome stability and repair pathways damaged by radiation and chemical agents, with implications for cancer research and space exploration. Education : Not explicitly stated in texts, but inferred to hold a PhD in relevant field. Research Interests : Molecular motors, DNA repair (UV/chemical damage, ionizing radiation), single-molecule experimentation, biophysical approaches to molecular interactions. His lab combines mechanical force application and fluorescence to study dynamic molecular complexes, bridging gaps between nanomanipulation and imaging techniques. Key Collaborations : Team includes researchers like Marc Nadal (PU UPC), Charlie Gosse (CR CNRS), and postdocs/students focusing on DNA repair and biophysical methods. Notable publications include studies on transcription-coupled repair, non-homologous end-joining, and reverse gyrase mechanisms. Labs/Teams : Leads the Molecular Motors and Machines group at IBENS, integrating experimental and computational approaches to study genome dynamics.

Ali HursonView profile

Professor

• High-performance computing
• Pervasive computing
• Mobile databases
• +11 more

Dr. Ali Hurson is a Professor in the Department of Electrical and Computer Engineering at Missouri University of Science and Technology. His research spans high-performance computing, pervasive computing, mobile databases, personalized education, intelligent transportation systems, and cyber-physical systems. PhD, Computer Science, University of Central Florida MS, Computer Science, University of Iowa BS, Physics, University of Tehran Dr. Hurson’s research focuses on mobile data access systems, cybersecurity for critical infrastructure, and educational technologies. His work addresses challenges in data dissemination, power management, and fault propagation in heterogeneous systems. His recent publications emphasize agent-based modeling for cyber attacks, predictive analytics in education, and fault tolerance in cyber-physical systems. Trends include integration of machine learning, security frameworks, and sustainable computing. Editor-in-Chief, Advances in Computers Editor-in-Chief, Journal of Sustainable Computing and Communication Dr. Hurson has secured over $3 million in grants from NSF, DOE, DOT, and industry partners. He has held academic roles at Penn State University and the University of Oklahoma, transitioning to Missouri S&T in 2007.

Somnath MondalView profile

Academic

• Structural Biology
• Biochemistry
• Biophysics
• +7 more

Somnath Mondal is an Assistant Research Professor in the Department of Chemistry at Pennsylvania State University, affiliated with the Eberly College of Science. He conducts research in the Boehr Lab, focusing on structural and dynamic aspects of proteins, particularly in the context of viral proteases, drug metabolism enzymes, and nanomaterial interactions. His research interests span structural biology , biochemistry , and biophysics , with a strong emphasis on protein dynamics , liquid-liquid phase separation , and protein-nanomaterial interactions . His work integrates NMR spectroscopy , computational modeling, and biochemical assays to understand molecular mechanisms in health and disease. The recent publication trends reflect deep engagement in virology (especially picornaviruses), drug metabolism (CYP enzymes), computational pharmacology (drug-drug interaction prediction), and nanobiotechnology . His studies often explore how intrinsically disordered proteins and RNA-protein interactions drive biomolecular condensation and viral replication. Computational prediction of mutation effects in drug-metabolizing enzymes Mechanisms of liquid-liquid phase separation in viral infection Nanomaterial effects on protein folding and aggregation NMR-based structural studies of regulatory protein domains Machine learning approaches to drug-drug interaction modeling He has contributed to significant scientific work, though specific awards or fellowships are not mentioned in the provided text. Somnath Mondal actively contributes to research grants through his role in the Boehr Lab and has advised or collaborated on multiple research projects, though formal advisees are not listed. His work supports broader efforts in understanding viral pathogenesis and developing safer therapeutics. He is part of the Boehr Lab , a research team dedicated to studying enzyme dynamics, allosteric regulation, and viral protein function using biophysical and computational tools.

• Distributed Computing
• Blockchain
• Fault Tolerance
• +3 more

Rida Bazzi is an Associate Professor at the School of Computing and Augmented Intelligence (SCAI) at Arizona State University (ASU), affiliated with the Center for Cybersecurity and Trusted Foundations. He joined ASU in 1996 after roles as an Assistant Professor at Florida International University and a senior consultant at I-Cube. His expertise spans distributed computing, blockchain, fault tolerance, and cybersecurity. Education: Ph.D. and M.Sc. in Computer Science from Georgia Institute of Technology (1994), B.E. in Computer and Communications Engineering from American University of Beirut (1989). Research focuses on distributed systems, blockchain mechanisms, secure protocols, and fault-tolerant designs. Notable work includes fractional spending in blockchain transactions, secure routing, and anti-phishing strategies. He has authored over 50 publications and holds patents in image matching and federated learning. Teaching includes courses like Principles of Programming Languages (CSE 340) and contributes to curriculum development. His grants include NSF-funded projects on scientific workflow updates and cybersecurity tools. He has served on committees for conferences like PODC and IEEE Distributed Computing Systems. Active in service roles, including the ACM Symposium on Distributed Computing (General Chair, 2008) and Fulton School Sabbatical Committee (2006–2007).

Jana LasserView profile

Professor

• Data Analysis
• Complex Social Systems
• Misinformation and Counterspeech
• +12 more

Jana Lasser is Professor for Data Analysis at the University of Graz and leads the Complex Social & Computational Systems research group at the interdisciplinary IDea_Lab. She is also Associate Faculty at the Complexity Science Hub Vienna (CSH), reflecting her deep engagement with complex systems research across institutions. Her educational background includes a PhD in Physics from Georg-August-University of Göttingen, based on research at the Max Planck Institute for Dynamics and Self-Organization. She held postdoctoral and visiting positions at the Medical University of Vienna, Graz University of Technology (as a Marie Curie Fellow), and RWTH Aachen (as interim professor) before joining the University of Graz in 2024. Her research centers on emergent phenomena in complex social systems, using machine learning, data science, NLP, and computational modeling. Key interests include misinformation, counterspeech, social media algorithms, mental health in academia, and pattern formation in geophysical systems. She is a leading voice in open science, data literacy, and reforming academic culture. Her recent publications (2023–2025) reveal a strong interdisciplinary trend, bridging computational social science, public health, political communication, and geophysics. Many papers focus on misinformation, political discourse, and algorithmic governance, often using large-scale social media data. Others explore mental health, academic labor, and foundational geophysical processes, demonstrating her wide-ranging analytical expertise. ERC Starting Grant 101160928 (DeSiRe) FWF standalone project P 37280-N netidee SCIENCE prize Open Knowledge Fellow of the Wikimedia Foundation (2019/2020) Marie Curie Fellow Jana Lasser actively mentors and advises through her leadership of major research projects and initiatives. She leads the Survey Special Interest Group in the COST Action on Researcher Mental Health and co-founded the Network Against Abuse of Power in Science. Her research has been supported by prestigious grants including an ERC Starting Grant and FWF funding. She has developed and taught numerous open-access courses in computational social science, Python, and data literacy, emphasizing reproducibility and educational outreach. She leads the Complex Social & Computational Systems research group at IDea_Lab and is a key figure in the Complexity Science Hub Vienna. Her work on the Schwurbelarchiv and agent-based models for healthcare resilience demonstrates her leadership in building and utilizing large-scale data infrastructures for societal benefit.