جست‌وجوی استاد و پژوهشگر

Laura Munozمشاهده پروفایل

دانشیار

• Mathematical Biology
• Dynamical Systems
• Applied Control Theory
• +۳ مورد دیگر

Laura Munoz is an Associate Professor in the School of Mathematics and Statistics at the Rochester Institute of Technology (RIT), within the College of Science. She holds a BS from the California Institute of Technology and a Ph.D. from the University of California at Berkeley. Her research focuses on mathematical biology, dynamical systems, applied control theory, and cardiac electrophysiology, with a particular emphasis on understanding mechanisms underlying cardiac arrhythmias through mathematical modeling and computational methods. Her work explores topics such as ephaptic coupling in cardiac tissue, controllability of cardiac alternans, and the role of calcium dynamics in arrhythmogenesis. Recent studies include analyzing discordant alternans mechanisms and their link to ventricular fibrillation, as well as developing state estimation techniques for cardiac ionic models using Kalman filters. Munoz has published extensively in journals like Physical Review Letters , Chaos , and Computers in Biology and Medicine , and has presented at conferences such as the SIAM Conference on the Life Sciences. Munoz currently teaches courses such as Linear Algebra, Complex Variables, Mathematical Modeling I, and Mathematical Biology, emphasizing the application of mathematical tools to real-world biological systems. Her research integrates principles from applied mathematics, control theory, and computational biology to advance understanding of cardiac physiology and disease.

Hima Lakkarajuمشاهده پروفایل

استادیار

• Trustworthy AI
• Machine Learning
• Fairness
• +۸ مورد دیگر

Hima Lakkaraju is an Assistant Professor at Harvard University with dual appointments in the Harvard Business School and the Department of Computer Science. Her research focuses on trustworthy AI, including machine learning interpretability, fairness, privacy, and safety. She holds a PhD from Stanford University and has received accolades such as the Alfred P. Sloan Fellowship and NSF CAREER Award. Her work bridges algorithmic foundations and societal implications of AI, with applications in healthcare, policy, and business. Education: PhD in Computer Science from Stanford University (2013-2017). Academic background includes roles at IBM Research, Microsoft Research, and Adobe. Research Interests: Algorithmic Foundations of AI Interpretability and Explainable AI Fairness and Bias Mitigation Privacy-Preserving ML Generative Models and LLMs Ethical AI Policy and Regulation Key Achievements: Over 100 publications in top venues like NeurIPS and ICML; co-founder of the Trustworthy ML Initiative; featured in MIT Tech Review, Forbes, and Harvard Business Review. Current projects include the AI4LIFE research group and work on regulatory frameworks for AI. Advising and Grants: Supervises over 30 students across PhD, master's, and postdoc levels. Research supported by NSF, Sloan Foundation, Schmidt Sciences, Google, Amazon, and others. Initiatives include the Regulatable ML workshop and NeurIPS ethics co-chair roles. Labs and Collaborations: Leads Harvard's AI4LIFE group and collaborates with industry partners like Fiddler AI. Active in policy discussions on AI regulation and societal impact.

Megan L. Matthewsمشاهده پروفایل

استادیار

• Chemical Biology
• Enzymology
• Chemical Proteomics
• +۷ مورد دیگر

Megan L. Matthews is an Assistant Professor in the Department of Chemistry at the University of Pennsylvania, School of Arts & Sciences, where she leads an active research group focused on chemical biology and enzymology. Her lab develops innovative chemical proteomics technologies to uncover novel enzyme cofactors and regulatory post-translational modifications, particularly those involving reactive electrophiles, which cannot be predicted from genomic sequences. B.S. in Chemistry, Miami University (2005) Ph.D. in Chemistry, The Pennsylvania State University (2011) Postdoctoral Fellow, The Scripps Research Institute (2012–2017) Her research centers on the concept of the 'electrophilome'—a largely unexplored half of the reactive proteome. By designing 'reverse-polarity' chemical probes, her group enables the discovery of functionally significant electrophilic modifications in proteins, especially those involved in cancer and Alzheimer’s disease. These discoveries open new avenues for therapeutic intervention through covalent targeting. The recent publications demonstrate a consistent focus on enzyme mechanisms, cofactor discovery, and chemical probe development. Her work spans from fundamental enzymology (e.g., halogenases, ribonucleotide reductases) to applied chemical biology (e.g., hydrazine probes, chemoproteomic profiling). The keywords across her publications highlight emerging themes in metalloenzymes, radical chemistry, and covalent proteome mapping. Her scientific contributions have been recognized through prestigious fellowships, including the Merck Helen Hay Whitney Postdoctoral Fellowship. She has published in top-tier journals such as Nature , Nature Chemical Biology , and Journal of the American Chemical Society . Dr. Matthews advises graduate students and postdoctoral researchers in her lab, fostering a collaborative and inclusive environment. Her lab emphasizes the importance of diverse perspectives in scientific discovery. She has secured research funding to support projects in probe development, target characterization, and disease mechanism studies, particularly in neurodegenerative diseases and cancer. The Matthews Lab is actively engaged in advancing reverse-polarity activity-based protein profiling (RP-ABPP) for in vivo applications and inhibitor screening. The group collaborates with experts in structural biology, spectroscopy, and disease modeling to translate basic discoveries into therapeutic insights.

Valerie Viet Triem Tongمشاهده پروفایل

استاد پژوهشی

• Information Flow Control
• Android Security
• Malware Analysis and Detection
• +۵ مورد دیگر

Valerie Viet Triem Tong is a Research Professor at the Paris Institute of Electrical and Electronic Engineering, School of Electrical and Electronic Engineering. She has established herself as a leading researcher in cybersecurity with a particular focus on information flow control systems, Android security, and malware analysis. Her work spans both theoretical foundations and practical security tools development. Her research interests center on Information Flow Control , where she has developed frameworks for monitoring and enforcing security policies at both operating system and application levels. She has made significant contributions to Android Security , creating tools for detecting malicious behavior in mobile applications and addressing privacy concerns in smartphone environments. Her work in Malware Analysis includes developing advanced techniques for tracking and visualizing malware behavior, with emphasis on evasive Windows malware and Android malware in the wild. She also investigates Peer-to-Peer Network Security , focusing on Sybil attack resistance and distributed identity management. Analysis of her publication record reveals a consistent trajectory from foundational work in information flow theory to increasingly applied security research. Her recent work shows a strong emphasis on practical security tools (DaViz, GUI-Mimic, BAGUETTE), security evaluation methodologies (Digital twin, CERBERE), and addressing contemporary challenges in malware analysis (debiasing datasets, handling obfuscated applications). A notable trend is her integration of visualization techniques with security analysis to make complex security data accessible to both experts and machine learning systems. As an advisor, she has mentored numerous researchers who have become first authors on significant publications, including Radoniaina Andriatsimandefitra, Tomás Concepcion Miranda, and Cedric Herzog. Her research has been supported by multiple grants focused on cybersecurity infrastructure, though specific grant details are not provided in the available information. Dr. Tong is actively involved with the CIDre security research group in Rennes, contributing to collaborative projects that bridge theoretical security models with practical implementation challenges. Her work on information flow monitoring has evolved from basic research to applied systems that address real-world security concerns across multiple platforms.

Yousif Shamooمشاهده پروفایل

استاد

• Antibiotic Resistance
• Bacterial Evolution
• Biophysics
• +۳ مورد دیگر

Yousif Shamoo is the Ralph and Dorothy Looney Professor of BioSciences at Rice University, where he has been a faculty member since 1998. He previously served as Vice Provost for Research (2014-2022) and Director of the Institute of Biosciences and Bioengineering (2008-2014). He holds a Ph.D. in Molecular Biophysics and Biochemistry from Yale University (1988). His research focuses on combating multi-drug resistant bacteria through experimental evolution and biophysical approaches. Key interests include: Evolutionary trajectories of antibiotic resistance in pathogens like Enterococcus and Acinetobacter Biochemical basis of adaptation using microfluidics, genomics, and structural biology Discovery of novel antimicrobial strategies targeting cell membrane stress pathways Microbial interactions in spatially structured environments Publications emphasize antimicrobial resistance mechanisms, evolutionary biophysics, and microfluidic technology development. Recent work explores daptomycin resistance pathways ( LiaFSR ), membrane lipid signaling, and high-throughput evolution platforms. Awards & Honors: AAAS Fellow (2024) Ralph and Dorothy Looney Professorship (2020) George R. Brown Award for Excellence in Teaching (2015) George R. Brown Superior Teaching Award (4×, 2009 onward) ASM Distinguished Lecturer (2011-2013) He leads an active research group funded by NIH and DoD, advising 15+ graduate students. Current projects integrate synthetic biology with Streptomyces-derived drug discovery and microfluidic biosurveillance platforms.

Ian Robertsمشاهده پروفایل

استاد

• Comparative Syntax
• Historical Syntax
• Universal Grammar
• +۳ مورد دیگر

Professor Ian Roberts is a faculty member at the University of Cambridge, affiliated with the Faculty of Modern and Medieval Languages and Linguistics and the Department of Theoretical and Applied Linguistics. He holds the academic rank of Professor and has been a Fellow in Linguistics at Downing College since his appointment. His research focuses on theoretical linguistics, particularly comparative and historical syntax, grounded in Noam Chomsky's Universal Grammar framework. Education : BA from Bangor University, PhD from University of Southern California (USC), LittD, Fellow of the British Academy (FBA). Roberts' work investigates how grammatical systems across Germanic, Romance, and Celtic languages vary along simple parametric lines while adhering to universal constraints. His recent projects include 'Rethinking Comparative Syntax' (ERC-funded), 'Giving Voice to Digital Democracies', and parametric comparison studies. His publications span monographs and collaborative works, emphasizing syntactic universals, parametric hierarchies, and mechanisms of language change. He has supervised graduate students such as Zepu Zhang, Fanghua Zheng, and Liu Yang. Roberts has received prestigious awards, including the European Research Council Advanced Grant and multiple Cambridge Humanities Research Grants. His academic contributions extend to leadership as Head of the Theoretical and Applied Linguistics Section and involvement in research clusters like CAMPAL (Cambridge Processing and Acquisition of Language lab).

MARCO BROGNAمشاهده پروفایل

دانشیار

• Tourism Development
• Sustainable Tourism
• Local Economic Development
• +۷ مورد دیگر

Marco Brogna is an Associate Professor of Economic Geography at the Department of Methods and Models for Economy, Territory, and Finance at Sapienza University of Rome. He has been serving in this capacity since March 2007, following his position as a Confirmed Researcher of Economic Geography from 2001 to 2007. His academic work is deeply rooted in the Faculty of Economics, where he has held significant administrative roles including Delegate of the Dean for Teaching and President of the Coordination Committee for Degree Programs. Professor Brogna's research interests span Tourism Development , Sustainable Tourism , Local Economic Development , Economic Geography , Territorial Planning , and Accessible Tourism . His work consistently focuses on the intersection between tourism, regional development, and sustainable practices. He has particular expertise in analyzing tourism dynamics in the Lazio region and Rome, examining how tourism impacts local economies and how territories can be developed to maximize tourism potential while maintaining sustainability. His recent publications reveal a clear trend toward analyzing post-pandemic tourism recovery, sustainable development models, and the evolving relationship between tourism and local communities. His research demonstrates a progression from traditional tourism studies toward more complex analyses of tourism's role in territorial development, with increasing focus on digital influences, accessibility, and sustainable practices. His work spans both theoretical frameworks and practical applications, often using case studies from Rome and the Lazio region to illustrate broader principles of tourism development. Professor Brogna has been actively involved in thesis supervision for undergraduate and graduate students, encouraging students to apply one semester before their expected completion date. He has led numerous research projects funded by the Lazio Region, including innovative research on tourist industry management, tourism training, and sustainable tourism development. His most significant projects include being responsible for the 2021 research on 'Innovative Management of the Tourist Industry' and the 2020 National Report on Open-Air Tourism. Professor Brogna has also been instrumental in organizing academic events, including the 'Giovedì del Turismo' conference series at Sapienza University since 2015, as well as numerous other conferences on tourism development, sustainable tourism, and territorial planning. His work extends beyond academia into practical applications through his involvement with Rome's strategic tourism planning and various governmental advisory roles.

Gabriele Schweikertمشاهده پروفایل

مدرس ارشد

• Computational Biology
• Machine Learning
• Epigenetics
• +۶ مورد دیگر

Dr. Gabriele Schweikert is a Senior Lecturer and Principal Investigator with a joint appointment between the Division of Computational Biology in the School of Life Sciences at University of Dundee and Cyber Valley in Tuebingen. Her research focuses on applying machine learning techniques to understand epigenetic mechanisms and molecular processes in living cells. Dr. Schweikert completed her PhD at the Max Planck Institute Tuebingen working with Schoelkopf, Weigel, and Raetsch labs on machine learning for computational gene finding. She subsequently joined Adrian Bird's lab at the Wellcome Trust Center for Cell Biology in Edinburgh, a pioneer in epigenomic research. Prior to her current position, she held prestigious Marie Curie and EMBO Fellowships at the School of Informatics, University of Edinburgh. Her research interests center on using machine learning to decode epigenetic mechanisms that determine cellular identity and function. She investigates how cells with identical DNA can differentiate into specialized cell types through epigenetic regulation, with particular focus on applications in understanding tumorigenesis where epigenetic machinery malfunctions. Her work combines high-throughput epigenomic data with advanced computational approaches to address complex biological questions. Analysis of her recent publications reveals a strong focus on epigenomic data analysis, machine learning applications in biology, and computational approaches to understanding gene regulation. Her work spans from fundamental epigenetic mechanisms to practical applications in disease research, with growing emphasis on individual-specific epigenomic analysis and explainable AI in biomedical contexts. UKRI Future Leaders Fellowship (2020, £1.6 million) Marie Curie Fellowship EMBO Fellowship Dr. Schweikert actively supervises PhD students and has received significant research funding for projects including 'Machine Learning Methods to Re-Annotate Histone Modifications,' 'Unlocking The Alternative Splicing Code,' and 'GPU-Based Machine Learning System For Fundamental Biological Research.' She is involved in multiple interdisciplinary collaborations and frequently presents her work at major conferences including ELLIS Health program retreat, Epigenetics Meetings, and RECOMB workshops. She maintains active research laboratories in both Dundee and Tuebingen, fostering international collaboration between computational biologists, machine learning experts, and experimental biologists to advance our understanding of epigenetic regulation in health and disease.

Kathrin Langمشاهده پروفایل

استاد

• Chemical Biology
• Protein Engineering
• Genetic Code Expansion
• +۳ مورد دیگر

Kathrin Lang is a Full Professor at the Department of Chemistry and Applied Biosciences, ETH Zurich, and Head of the Organic Chemistry Laboratory. Her research focuses on chemical biology, particularly the development of tools for genetic code expansion to incorporate non-canonical amino acids into proteins and advance bioorthogonal chemistries for studying biological processes. Keywords: Genetic Code Expansion, Bioorthogonal Chemistry, Protein Engineering, Ubiquitylation Networks, Post-Translational Modifications. Lang’s work emphasizes proximity-triggered crosslinking reactions, bioorthogonal labeling, and in vivo chemistries to address challenges in protein interaction mapping and structural elucidation. Her group’s recent publications highlight methodologies for dual protein labeling, deciphering ubiquitin code, and enhancing cycloaddition reactivity. Current projects include exploring cyclopropene-fused dibenzocyclooctynes for improved labeling and investigating methylated lysine as a conformational regulator in Hsp90. Funding sources include the ERC (Ubl-tool), DFG (SFB1035, SPP1926), and ETH Zurich. She contributes to education through courses like Genetic Code Expansion for Studying Posttranslational Modifications and Chemical Biology and Synthetic Biochemistry . Collaborative efforts span structural biology, microbiology, and synthetic biochemistry, with applications in ubiquitin research and cellular imaging.

• Econometric Theory
• Machine Learning/Nonparametrics
• Robust Inference for Clustered & Network Data
• +۶ مورد دیگر

Harold D. Chiang is an Assistant Professor in the Department of Economics at the University of Wisconsin-Madison. His research focuses on econometric theory and methods, particularly robust inference techniques for clustered and network data, machine learning applications, and causal inference frameworks like regression discontinuity/kink designs. He employs computational statistics and asymptotic theory to address methodological challenges in high-dimensional and complex datasets.

Nathan Linialمشاهده پروفایل

استاد

• Combinatorics
• Theoretical Computer Science
• Bioinformatics
• +۶ مورد دیگر

Nathan (Nati) Linial is a Professor at the School of Computer Science and Engineering at the Hebrew University of Jerusalem, where he has been a faculty member since completing his postdoctoral period at UCLA. He earned his undergraduate degree in mathematics from the Technion and his PhD in graph theory from the Hebrew University. His research spans multiple areas of theoretical computer science and mathematics, with primary focus on combinatorics, theoretical computer science, and bioinformatics. Linial's work has made significant contributions to high-dimensional combinatorics, expander graphs, metric embeddings, and computational molecular biology. His research often bridges geometry, analysis, and combinatorial structures, demonstrating deep connections between seemingly disparate mathematical fields. Linial's recent publications reveal a strong trend toward high-dimensional combinatorial structures, including simplicial complexes, hypertrees, and high-dimensional permutations. His work frequently employs probabilistic methods, linear programming techniques, and geometric approaches to solve fundamental combinatorial problems. The breadth of his research is evident in both pure mathematical contributions and applications to computational biology. Fellow of the American Mathematical Society ISI Highly Cited Researcher Conant Prize (2008) for the influential survey paper "Expander graphs and their applications" Linial has served on the editorial boards of several prestigious journals including the Israel Journal of Mathematics (as Chief Editor 2013-2017), Random Structures and Algorithms, and Combinatorica. His academic leadership extends to organizing conferences and workshops in combinatorics and theoretical computer science. He has mentored numerous students whose work spans theoretical computer science, combinatorics, and computational biology. Linial is associated with research projects including ProtoNet (for protein sequence classification) and EVEREST (for evolutionary conserved protein domains), demonstrating his commitment to interdisciplinary research that bridges computer science with molecular biology.

Cathy Wuمشاهده پروفایل

دانشیار

• Reinforcement Learning
• Transportation Systems
• Optimization and Control
• +۳ مورد دیگر

Cathy Wu is an Associate Professor at MIT, with affiliations in the Laboratory for Information and Decision Systems (LIDS), Department of Civil and Environmental Engineering (CEE), and Institute for Data, Systems, and Society (IDSS). Her research group focuses on integrating machine learning with model-based optimization to solve complex problems in transportation systems and cyber-physical systems. Academic Leadership: Class of 1954 Career Development Associate Professor (MIT) Research Grants: NSF CAREER Award, Amazon Robotics, Mathworks, MIT Mobility Initiative, US DOT, Microsoft Research, Cintra, Symbotic Research Interests : Wu's work bridges AI and engineering challenges in transportation. Key areas include: Hybrid ML/Model-based Optimization (large neighborhood search, branch-and-cut) Sustainable Mobility (Project Greenwave, eco-driving) Multi-Agent Coordination (warehouse automation, cooperative driving) Cyber-Professional Systems (generalization in RL, transfer learning) Recent work demonstrates significant advances in eco-driving (11-22% emissions reduction), large-scale multi-agent path finding (1000+ agents), and foundational RL methods for traffic control. Her group has produced 15+ major publications since 2015, with notable media coverage in Science, Wired, and NewScientist. Selected Scientific Awards NSF CAREER Award (2023) Ole Madsen Mentoring Award (2025) IEEE ITSS WiE/YP Fellowship (2024) Harold L. Hazen Teaching Award (2022) Her lab has advised 12+ graduate students and postdocs, including: Vindula Jayawardana (PhD '24, now at Anthropic) Sirui Li (PhD '25, now at Microsoft Research) Yining Ma (Postdoc, active researcher) Zhongxia Yan (PhD '24, now at Anthropic)

Georgios Dimitroglou Rizellمشاهده پروفایل

مدرس ارشد

• Symplectic Geometry
• Contact Topology
• Lagrangian Submanifolds
• +۴ مورد دیگر

Georgios Dimitroglou Rizell is a Senior Lecturer in the Department of Mathematics at Uppsala University, Sweden, where he also serves as Head of the Department since 2020. His academic work is centered at the Ångström Laboratory, where he conducts research in symplectic and contact topology. He maintains dual affiliations with both the Department of Mathematics and the Center for Geometry and Physics at Uppsala University. Dr. Dimitroglou Rizell earned his PhD from Uppsala University in 2012 under the supervision of Tobias Ekholm. Following his doctoral studies, he held postdoctoral positions at the Université Libre de Bruxelles (2012-2013), Université Paris-Sud (2013-2014), and the University of Cambridge (2014-2015), all supported by prestigious fellowships from the Knut & Alice Wallenberg Foundation. He returned to Uppsala University as a researcher (2015-2017) and Assistant Lecturer (2017-2021) before being promoted to Senior Lecturer in 2021. His research primarily focuses on symplectic and contact topology, with special emphasis on understanding and classifying Lagrangian and Legendrian submanifolds. His work employs advanced mathematical techniques including pseudoholomorphic curves, pseudoholomorphic foliations, Symplectic Field Theory, and Floer homology. His investigations span a broad range of topics within geometric topology, from the classification of Lagrangians near the Whitney immersion to the study of Legendrian submanifolds and their invariants. His research has significant implications for understanding the geometric structures underlying classical mechanics and quantum physics. His recent publications (2020-2025) demonstrate a consistent focus on Lagrangian and Legendrian submanifolds, with particular attention to their classification, invariants, and interactions with symplectic structures. A notable trend is the development of new techniques for studying C^0-limits of Legendrians, exact Lagrangians in various settings, and the geometric generation of Fukaya categories. His collaborative work with researchers like Michael Sullivan, Roman Golovko, and others has produced significant advances in Floer theory and symplectic field theory. Scientific Awards Wallenberg Scholar (2023-2028, KAW 2023.0294) Wallenberg Academy Fellow (extension 2022-2027, KAW 2021.0191) Wallenberg Scholar (2022-2023, KAW 2021.0300) Wallenberg Academy Fellow (2017-2021, KAW 2016.0198) As Head of the Department of Mathematics, Dr. Dimitroglou Rizell oversees academic programs and research initiatives. His leadership is supported by significant funding from the Knut & Alice Wallenberg Foundation, which has awarded him multiple prestigious fellowships throughout his career. These grants have enabled his research in symplectic geometry and supported collaborative projects with international mathematicians. Dr. Dimitroglou Rizell is actively involved in the Center for Geometry and Physics at Uppsala University, where he collaborates with researchers across mathematical disciplines. His work intersects with theoretical physics, particularly in areas related to geometric quantization and the mathematical foundations of quantum mechanics. He participates in seminar series and reading groups focused on symplectic topology and its applications.

Jared Eutslerمشاهده پروفایل

دانشیار

• Auditing
• Fraud
• Audit Regulation
• +۱ مورد دیگر

Jared Eutsler is an Associate Professor of Accounting in the Department of Accounting at the G. Brint Ryan College of Business, University of North Texas, where he has been a faculty member since 2016. He holds multiple professional certifications including CPA, CMA, CFM, and CFE, and brings industry experience from Ernst & Young and the PCAOB to his academic role. His educational qualifications are: Ph.D. in Business Administration-Accounting from the University of Central Florida Masters in Accountancy and Information Systems from Arizona State University Bachelors in Accountancy from Grand Canyon University Dr. Eutsler specializes in auditing research with core interests in audit regulation, fraud detection mechanisms, and professional skepticism dynamics. His scholarly work examines behavioral aspects of auditor judgment, regulatory impacts on audit quality, and fraud vulnerabilities across contexts including education systems and public health reporting. He has published in premier outlets such as Accounting Organizations and Society and Auditing: A Journal of Practice and Theory, demonstrating methodological diversity through experimental, archival, and case-based approaches. Analysis of his 15 most recent publications reveals consistent focus on auditor-client interactions and regulatory compliance, with growing emphasis on real-world applications. Recent work extends into emerging domains like equity crowdfunding decision-making and politicization of financial reporting data, while maintaining strong connections to foundational auditing principles. His research increasingly employs behavioral experiments to model professional skepticism threats and mitigation strategies in complex audit scenarios. Dr. Eutsler has been recognized with the G. Brint Ryan College of Business Teaching Innovation Award for his excellence in classroom instruction. His professional service includes significant public-sector engagement through the Audit & Finance committee for the City of Corinth and the Board of Directors for Denton County Transportation Authority, where he applies academic expertise to governmental financial oversight. No information on student advising or research grants was provided in the source material. No research labs or specialized teams are mentioned in the available documentation.

Haagen Klausمشاهده پروفایل

استاد

• Bioarchaeology
• Paleopathology
• Dental Anthropology
• +۶ مورد دیگر

Haagen Klaus is a Professor in the Department of Anthropology at George Mason University, specializing in bioarchaeology, paleopathology, and forensic anthropology. Since 2013, he has directed research on the north coast of Peru, focusing on human skeletal biology, mortuary practices, and the impacts of colonialism and environmental stressors on prehistoric and historic societies. Ph.D., Department of Anthropology, The Ohio State University (2008) M.A., Department of Anthropology, Southern Illinois University (2003) B.A., Department of Anthropology, State University of New York at Plattsburgh (2000) Klaus's research explores biocultural transformations in complex societies, with emphasis on health, violence, identity, and ethnogenesis. His Lambayeque Valley Biohistory Project (founded 2003) investigates skeletal markers of disease, stress, and violence across 10,000 years of Andean history. Methodologies include isotopic chemistry, ancient DNA analysis, and dental phenetics. Recent work (2025) examines oral microbiomes during Spanish colonization, syndemic processes in colonial dynamics, and stress indicators in pre- and postcontact populations. Projects integrate osteoimmunology, ecoimmunology, and life history trade-offs to understand physiological and cultural resilience. Current graduate students under his supervision include Rae-Ocean Blake, Kimberly Hargrave, Megan Jankowski, Emily Schopmeyer, and Celeste Schultheiss. He leads international collaborations involving Peruvian, Japanese, Canadian, and American researchers through the Lambayeque Valley Biohistory Project.