جست‌وجوی استاد و پژوهشگر

Jody Reimerمشاهده پروفایل

استادیار

• Mathematical Ecology
• Ecological Modeling
• Polar Marine Biology
• +۷ مورد دیگر

Jody Reimer is an Assistant Professor jointly appointed in the Department of Mathematics and the School of Biological Sciences at the University of Utah. Her interdisciplinary work bridges mathematical theory with ecological applications, focusing on extreme environments including polar regions and Great Salt Lake. She maintains offices in both the Mathematics building (LCB 301) and South Biology building (227), reflecting her dual departmental affiliation and commitment to collaborative research across disciplines. Dr. Reimer's research explores the intersection of mathematics, ecology, and statistical/computational methods to connect models with data. Her work leverages advances in uncertainty quantification, optimal control theory, and data science to understand ecological phenomena. Much of her research is motivated by questions in polar marine biology and Great Salt Lake ecology, with additional collaborative projects spanning diverse biological systems. She develops mathematical approaches to study sea ice ecosystems, polar bear navigation in warming Arctic, and long transient dynamics in ecological systems. Analysis of Dr. Reimer's recent publications reveals a strong focus on mathematical approaches to pressing ecological questions. Her work spans theoretical developments in uncertainty quantification and transient dynamics, alongside applied research on polar ecosystems, wildlife management, and disease modeling. A recurring theme is the development and application of optimal control theory to ecological problems, particularly in understanding animal behavior under environmental change. Her interdisciplinary approach consistently bridges mathematical theory with empirical ecological challenges. Shortlisted for the Robert May Prize for her paper "Matrix methods for stochastic dynamic programming in ecology and evolutionary biology" Dr. Reimer actively mentors a diverse group of students across multiple disciplines, including PhD candidates in Mathematics and Biology, as well as numerous undergraduate researchers. Her lab recently received a 1U4U Seed Grant to support data collection on Great Salt Lake microbialites. She co-organizes significant research initiatives including the ICERM Workshop on Uncertainty Quantification for Mathematical Biology (May 2025) and the SLMath graduate summer school on Mathematics of Climate, Sea Ice, and Polar Ecosystems (June 2025). Current funding supports research on polar bear navigation, sea ice ecology, and Great Salt Lake microbial communities. The Reimer lab operates at the interface of mathematics and biology, with members working on diverse projects spanning polar ecology, Great Salt Lake research, and theoretical ecology. The lab maintains strong connections with field researchers in the Arctic and collaborates with biologists, statisticians, and applied mathematicians across institutions. Recent work includes the "Mathpedition" project documenting academia in the Arctic and collaborative efforts with Polar Bears International on educational initiatives.

Natalie Munroمشاهده پروفایل

استاد

• Zooarchaeology
• Taphonomy
• Animal Domestication
• +۸ مورد دیگر

Natalie Munro is a Professor in the Department of Anthropology at the University of Connecticut, specializing in zooarchaeology and the study of human-animal interactions during the transition to agriculture. She holds a Ph.D. from the University of Arizona (2001), an M.A. from Simon Fraser University (1994), and a B.S. from Southern Methodist University (1991). She was a postdoctoral fellow at the National Museum of Natural History of the Smithsonian Institution (2001-02) and has held fellowships at the University of Connecticut's Humanities Institute (2015-2016) and the Mandel Scholion Center at Hebrew University in Jerusalem (2017-2018). Her research focuses on the emergence of agriculture, zooarchaeology and taphonomy, animal domestication, behavioral ecology, human hunting practices, and human-animal interactions during the Epipaleolithic and Neolithic periods of Southwest Asia and the Eastern Mediterranean. She employs zooarchaeological methods to investigate the transition from hunting and gathering to food production, with particular attention to gazelle and other ungulate species in the Levant. Munro's extensive publication record includes articles in top journals like Science, PNAS, Current Anthropology, and Journal of Human Evolution. Her work demonstrates a consistent focus on understanding the complex pathways to animal domestication, particularly sheep and goats in Anatolia and the Levant, as well as specialized hunting strategies and ritual animal use during the Neolithic period. Her recent research explores mountain gazelle body size variation, aquatic resource exploitation during the Natufian period, and the emergence of animal management practices. She has received research support from prestigious organizations including the National Science Foundation and the Wenner-Gren Foundation for Anthropological Research. Munro serves as an Associate Editor for the Journal of Human Evolution and is a long-term co-chair and board member of the Connecticut Museum of Natural History. She teaches courses including Old World Archaeology, Near Eastern Prehistory, Origins of Agriculture, Zooarchaeology Method and Theory, and Quantitative Zooarchaeology.

Evelina Akimovaمشاهده پروفایل

استادیار

• Social Science Genomics
• Chronotype & Mental Health
• Career Trajectories
• +۳ مورد دیگر

Dr. Evelina Akimova is an Assistant Professor of Sociology at Purdue University. Her research integrates social science genomics , chronotype analysis , and quantitative causal inference to explore health inequalities and career trajectories.

• Intelligent Systems and Control
• Cognitive Robotics
• Nano-robotics
• +۹ مورد دیگر

Laxmidhar Behera is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur, specializing in Intelligent Systems and Control. With over two decades of academic experience at IIT Kanpur and international research experience at institutions including Fraunhofer Institute of Autonomous Intelligent Systems in Germany, ETH Zurich, and University of Ulster, he has established himself as a leading researcher in cognitive robotics and intelligent control systems. Dr. Behera's research spans multiple cutting-edge domains including Cognitive Robotics, Nano-robotics, Vision based Control, Soft Computing, Information Retrieval in music and language, Semantic Information Processing, Physics of Complex Systems, Cyber Physical Systems, Formation Control of UAVs, Brain-Computer Interface (BCI), and Sanskrit Computational Linguistics. His interdisciplinary approach bridges traditional control theory with modern computational intelligence techniques, creating innovative solutions for complex real-world problems. His extensive publication record in top-tier journals like IEEE Transactions demonstrates his leadership in areas such as brain-computer interfaces, visual servoing, multi-robot systems, and music information retrieval. Notably, his work on quantum neural networks for EEG filtering and multisatellite formation control has received significant attention in the research community. UKIERI Standard Research Award 2008 Best Paper at International Conf. on Intelligent Sensors and Information Processing (ICISIP-2004) Best Paper at WoSco,02, Int. Conf. High-Performance Computing (HiPC, 2002) AICTE career award for young teacher (1997) Senior Member IEEE Multiple IEEE top accessed articles (2009-2010) As an Associate Editor for Autosoft Journal and Technical Committee Member for Intelligent Control at IEEE Control System Society, Dr. Behera actively contributes to the academic community. His laboratory in the Western Lab - 212A of the Department of Electrical Engineering serves as a hub for research in intelligent systems, where he mentors students and collaborates with researchers worldwide on cutting-edge projects in robotics, control systems, and computational intelligence.

D. L. V. K. Prasadمشاهده پروفایل

استادیار

• Computational Materials
• Electronic Structure
• Superconductivity
• +۳ مورد دیگر

D. L. V. K. Prasad is an Assistant Professor in the Department of Chemistry at the Indian Institute of Technology Kanpur (IIT Kanpur). He specializes in Computational Materials science with research interests spanning electronic structure of materials, superconductivity in low-Z systems, and phase transitions in complex solids. Education: PhD (2008), University of Hyderabad M.Sc. (2002), University of Hyderabad Research Focus: His work combines quantum mechanical calculations and evolutionary algorithms to predict material structures and properties under extreme conditions. Key objectives include understanding solid-state phase transition mechanisms and designing high-temperature superconductors within BCS phonon-mediated frameworks. Publication Trends: Recent articles (2012-2016) predominantly explore high-pressure material behavior, nanostructured carbon/boron systems, and transition metal oxides, employing computational methods to investigate electronic confinement, chemical bonding, and magnetic properties in novel materials. Professional Experience: NSF Postdoctoral Associate, Cornell University (2011–2013) Max Planck Society Postdoctoral Fellow, MPI-FKF Stuttgart (2009–2011)

Elena Anagnostopoulouمشاهده پروفایل

استاد

• Theoretical syntax
• Comparative syntax
• Formal linguistic typology
• +۷ مورد دیگر

Elena Anagnostopoulou is a Professor of Theoretical Linguistics at the Department of Philology, University of Crete, where she has been a faculty member since 1998. Her academic career spans theoretical linguistics with a focus on syntax, morphology, and historical linguistics, particularly in the context of Greek language. Dr. Anagnostopoulou earned her PhD from the University of Salzburg in 1994, followed by postdoctoral research at the MIT Institute of Linguistics (1997-1998). She served as Assistant Professor (1998-2005), Associate Professor (2005-2009), and has been Professor of Linguistics at the University of Crete since 2009. She was a Visiting Professor at MIT in 2007 and received the prestigious Friedrich Wilhelm Bessel Research Award from the Alexander von Humboldt Foundation in 2013. Her research focuses on theoretical and comparative syntax, formal linguistic typology, morphology and historical morphosyntax, with particular emphasis on the interface of syntax, morphology and lexicon. She has made significant contributions to understanding argument alternation, declension, agreement, person, gender, inflections, control and autopathic structures. Her work often centers on Greek language but extends to cross-linguistic comparisons. Anagnostopoulou's recent publications demonstrate her ongoing research in gender features, case theory, argument structure, and the historical development of Greek syntax. Her work bridges theoretical linguistics with historical and comparative approaches, examining how linguistic features evolve across time and space. She has increasingly incorporated evolutionary biology methods into linguistic research. Friedrich Wilhelm Bessel Research Award (2013) Elected member of Academia Europaea (since 2019) As scientific director of multiple research projects funded by the Hellenic Research Foundation, including 'Using tools from Evolutionary Biology to reveal relationships among languages' (2019-2023) and 'Modeling language genesis,' she has secured significant research funding. She co-directs the 'Open Generative Syntax' series and serves on the editorial boards of the Journal of Greek Linguistics, Linguistic Inquiry and Syntax. Her work extends to educational applications, with research on learning disabilities, remedial intervention programs, and language acquisition in socioeconomically diverse populations in Greece.

• Systems Theory
• Mathematical Modeling
• Fuzzy Logic
• +۷ مورد دیگر

Konstantin Yuryevich Degtyarev is an Associate Professor at the Department of Software Engineering within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE) in Moscow. He has been working at HSE since 2008 and has accumulated 29 years of scientific and teaching experience. His office is located at AUK "Pokrovsky Boulevard", Pokrovsky blvd, 11, office S919, where he holds consultations on Mondays, Thursdays, and Fridays during Module 1. 1995: Candidate of Technical Sciences from Moscow State University of Instrument Engineering and Computer Science, specialty 05.13.01 "System Analysis, Management and Information Processing" Postgraduate study at Moscow State University of Instrument Engineering and Computer Science (1986) Specialty: Moscow Institute of Electronic Engineering, Faculty of Applied Mathematics, specialty "Applied Mathematics", qualification "Engineer-mathematician" Professor Degtyarev's research focuses on systems theory and mathematical modeling, with particular emphasis on fuzzy logic and soft computing applications in systems analysis. His work explores cognitive approaches to structural analysis, verbal calculations, perceptions in systems analysis, F-geometry in modeling and decision making, interval calculations, Z-numbers (according to L.A. Zadeh), and fuzzy time series in forecasting. He also has significant expertise in programming in C/C++ and approaches to teaching programming courses. His research bridges theoretical foundations with practical applications in software engineering and decision support systems. Analysis of Professor Degtyarev's publication history reveals a consistent focus on fuzzy logic applications across multiple domains. His work demonstrates an evolutionary path from foundational theoretical work on polyhedral dynamics and Q-analysis to more applied research involving Z-numbers, fuzzy time series, and fuzzy logic applications in software engineering, e-commerce reputation systems, and metro positioning services. A notable trend is the increasing application of fuzzy methodologies to practical software engineering problems, particularly in the areas of linguistic summarization, decision support, and uncertainty modeling. Gratitude from HSE University (May 2024) Gratitude from the Department of Software Engineering, HSE (November 2023) Certificate of honor from the Faculty of Computer Science of HSE (September 2019) Gratitude from the First Vice-Rector of HSE (January 2018) Best Teacher award (2024, 2011-2020) Winner of the competition for the best article in the journal 'Proceedings of the ISP RAS' for 2019 Professor Degtyarev has supervised numerous bachelor's and master's theses, primarily focusing on fuzzy logic applications, Z-numbers, linguistic summarization, and decision support systems. His students have developed various software implementations related to fuzzy modeling, time series forecasting, and expert assessment aggregation. He has also contributed significantly to educational development, creating teaching materials for courses in programming, fuzzy systems, and applied system analysis. His involvement in curriculum development includes certified assessment materials for the discipline "Fundamentals of Informatics and Programming". As a member of IEEE (since 1999) and ACM (2005-2014), Professor Degtyarev participates in various professional activities including serving as a reviewer for prestigious journals such as "Fuzzy Sets and Systems" and "IEEE Transactions on Fuzzy Systems". He has also been involved in international conferences as a program committee member and section chair for several International Conferences on Soft Computing.

Lynn Kamerlinمشاهده پروفایل

استاد

• Computational Biophysics
• Molecular Evolution
• Enzyme Engineering
• +۱۲ مورد دیگر

Lynn Kamerlin is a Professor at the Georgia Institute of Technology and co-leads the Kamerlin Laboratory, which operates across Georgia Tech and Lund University. Her work integrates computational chemistry and biophysics to address fundamental questions in enzyme evolution, catalysis, and protein design. Education MNatSc in Chemistry, University of Birmingham (UK) PhD in Chemistry, University of Birmingham (UK) Her research spans computational biophysics , focusing on mechanistic biochemistry , protein evolution , and enzyme engineering . Key methodologies include machine learning , molecular dynamics simulations , EVB/QM/MM modeling , and natural language models for protein structure prediction. Recent publications highlight trends in AI-driven enzyme design , conformational dynamics , and mechanistic studies of phosphoryl transfer reactions . Tools like WatCon and Q-RepEx demonstrate her commitment to method development in computational biology. Scientific Awards Georgia Research Alliance Eminent Scholar (2022-Present) Wallenberg Scholar (2020-2024) ERC Starting Grant (2012-2017) Wallenberg Academy Fellowship (2014-2019, prolonged 2019-2024) Young Academy of Europe Chair (2014-2015) Fellow of the Royal Society of Chemistry (2017) Her lab collaborates with experimental groups worldwide, leveraging enhanced sampling techniques and structural bioinformatics to engineer enzymes with tailored properties. Grants from the Swedish Research Council and European Research Council underpin her research on enzyme evolution and catalytic mechanisms. Current projects include computational design of thermostable enzymes , allosteric modulators for biomedical targets, and modular protein scaffolds . The lab also investigates non-canonical amino acid incorporation and FAIR data principles in biomolecular simulations.

Anna Greenمشاهده پروفایل

استادیار

• Computational Biology
• Machine Learning
• Antibiotic Resistance
• +۳ مورد دیگر

Anna Green is an Assistant Professor at the Manning College of Information & Computer Sciences (CICS) at the University of Massachusetts Amherst. She directs the Sequence Analysis and Genomics (SAGE) lab, which focuses on developing computational methods to understand genetic variation, with special emphasis on antibiotic-resistant bacteria. Her research integrates machine learning with genomic analysis to predict antibiotic resistance and understand its genetic basis. Education: Postdoctoral Fellow in Biomedical Informatics (2023) - Harvard Medical School PhD in Systems Biology (2019) - Harvard University BS in Molecular and Cell Biology (2013) - University of Connecticut Her research program at SAGE Lab focuses on: Applying machine learning to genomic sequences to predict antibiotic resistance Developing interpretable models of resistance mechanisms in bacteria Studying evolutionary patterns in Mycobacterium tuberculosis populations Discovering protein interactions through computational analysis of genomic sequences Building frameworks for coevolutionary sequence analysis Her recent publications demonstrate a consistent focus on antimicrobial resistance mechanisms in tuberculosis using cutting-edge computational approaches. Research spans machine learning applications, genomic dependency analysis, transcriptomic responses, and protein interaction mapping, consistently addressing public health challenges posed by evolving bacterial resistance. Dr. Green teaches several courses including: Introduction to Computational Biology and Bioinformatics (INFO 390C) Computational Biology and Bioinformatics (CS 690U) Machine learning on biological sequence data (CS 692X) She directs the SAGE Lab at UMass Amherst, where her team develops computational methods to combat antibiotic resistance through genomic analysis and predictive modeling.

Sunny Jiangمشاهده پروفایل

استاد

• Environmental microbiology
• Water treatment
• Antibiotic resistance
• +۴ مورد دیگر

Sunny Jiang is a Professor in the Civil and Environmental Engineering Department at the University of California, Irvine, with a joint appointment in the Ecology and Evolutionary Biology Department . Her research integrates environmental microbiological and engineering principles to address critical challenges in water treatment, microbial ecology, and public health. Research projects in her Applied Environmental Microbiology Laboratory (AEML) focus on: Wastewater-based surveillance for pathogens like SARS-CoV-2 Antibiotic resistance dynamics in water systems Advanced biodegradation techniques for toxins Biofouling mitigation in desalination systems Microbial risk assessment under climate change Key scientific contributions include: NSF Graduate Research Fellowship (awarded to Katherine Brenner) Development of microfluidic portable pathogen analysis systems Leadership in climate change-microbial risk modeling Innovations in nanobubble technology for wastewater systems Notable students include Dr. Hunter Quon (PhD Environmental Engineering) and Katherine Brenner (NSF Fellow). Her lab actively engages in interdisciplinary work spanning water quality, biotechnology, and health risk assessment.

• Ecology
• Wildlife Biology
• Climate Change
• +۳ مورد دیگر

Simen Pedersen is an Associate Professor at the Department of Forestry and Outback Studies , Faculty of Applied Ecology, Agricultural Sciences and Biotechnology, University of Inland Norway, Campus Evenstad. His research focuses on climate change impacts on wildlife, particularly adaptive responses in mountain hares and deer populations. Key Research Themes: Climate-driven camouflage mismatch in mountain hares, stress physiology in hunted populations, and trophic interactions between large herbivores and forest ecosystems. Methodology: Integrates GPS tagging, camera trap data from SCANDCAM, and molecular techniques to study adaptive genetics and behavioral responses. Publication Trends: Recent work spans from 2025–2016, emphasizing climate adaptation , herbivory impacts , and ecological sustainability . Collaborations with international scientists (Australia, Sweden, Norway) appear across journals like Global Change Biology and Ecology and Evolution . Students: Supervises PhD researcher Simen M Talleraas in the TaigaClimate project , which examines climate and management effects on deer populations. Labs & Teams: Affiliated with the WILDCOM research group (Ecological Communities in Change), working on wildlife population dynamics and habitat use through projects like Hare's change of costume and Territory use in hares .

Pascal Gagneuxمشاهده پروفایل

پژوهشگر

• Evolutionary Biology
• Molecular Primatology
• Glycobiology
• +۴ مورد دیگر

Pascal Gagneux is an Associate Director at the Center of Academic Research and Training in Anthropogeny (CARTA) and a joint faculty member in the Anthropology and Pathology Departments at the University of California San Diego. His research bridges evolutionary biology, glycobiology, and reproductive medicine, focusing on glycan roles in human-chimpanzee divergence and disease susceptibility. Education: PhD in Zoology (1998), MS in Population Biology (Basel University, Switzerland) Faculty: Cellular and Molecular Medicine (2007-present), CARTA (2008-present) As a molecular primatologist, he investigates glycan-mediated cellular recognition in reproduction and infection. His lab discovered sperm-associated neuraminidases critical for fertilization and demonstrated how influenza A viruses exploit sialic acid pathways. Current work explores human-specific glycan evolution through comparative anthropogeny frameworks. His publications span 2025-2020 , emphasizing: Glycan dynamics in age-related macular degeneration Human susceptibility to Alzheimer’s disease Microbial-glycan interactions in infectious disease Evolution of postreproductive cognitive protection Sialome evolution in host-pathogen systems Transdisciplinary anthropogeny research While no specific awards are mentioned, his work integrates UCSD’s biological anthropology labs with sociocultural implications of glycan biology. He also directs a graduate specialization in anthropogeny across eight PhD programs. The Gagneux Lab operates at the intersection of glycobiology, reproduction, and evolutionary medicine, using primate models to decode molecular mechanisms distinguishing humans from other apes.

• Evolutionary Biology
• Molecular Phylogenetics
• Comparative Evolutionary Studies
• +۱۲ مورد دیگر

Rebecca Kimball is a Professor in the Department of Biology at the University of Florida , focusing on evolutionary biology through molecular techniques and field research. Her work spans three primary areas: phylogenetics for comparative studies, microevolutionary processes like mating systems and sexual selection, and linking genomic changes to organismal evolution. Education : Ph.D. (University of New Mexico, 1995) Research Themes : Phylogenetic reconstruction, genome-phenome mapping, sensory system evolution, and avian diversification. Her lab, the Braun-Kimball Lab , trains students in phylogenetics, computational biology, and population genetics. Current projects include galliform evolution, chemosensory systems in vultures, and hybridization studies in paradise flycatchers. She collaborates on NSF-funded phylogenomic initiatives and emphasizes rigorous lab practices, including long-term commitments for researchers and interdisciplinary training. Scientific Awards : No explicit awards listed, but her lab receives external grants (e.g., NSF, University Scholars Program). Advising & Grants : Mentors numerous graduate and undergraduate researchers. Lab members often co-author publications and pursue independent projects. Grants focus on phylogenomic tools and avian evolutionary questions. Labs & Teams : Leads the Braun-Kimball Lab, which engages in global collaborations (e.g., Field Museum, New York State Museum) and interdisciplinary work in genomics and ecology.

• Molecular Immunology
• Virology
• Cell Biology
• +۳ مورد دیگر

David M. Markovitz is a tenured Professor in the Department of Internal Medicine at the University of Michigan Medical School. He has maintained continuous faculty appointments at the University since 1988, progressing from Assistant Professor (1988-1994) to Associate Professor with tenure (1994-2002) and ultimately to his current Professor position (2002-present). Dr. Markovitz leads a multidisciplinary research team comprising four additional faculty members, postdoctoral fellows, PhD students, MD/PhD students, medical students, physicians, public health students, and undergraduates. Dr. Markovitz's research program spans several interconnected domains in molecular medicine. His laboratory employs diverse methodologies including NMR, crystallography, molecular dynamics modeling, glycoclusters, next-generation sequencing, bioinformatics, and animal models to investigate viral pathogenesis and develop novel therapeutic approaches. His work has produced 92 publications and resulted in significant discoveries across multiple fields. The publication record reveals several major research trajectories: investigations into HIV transcription mechanisms; characterization of the DEK protein's role in cancer and juvenile arthritis; discovery of vimentin as a secreted inflammatory factor; exploration of human endogenous retroviruses (HERVs) in disease pathogenesis; and development of engineered lectins as broad-spectrum antiviral agents. His most notable contribution involves engineering banana lectin (BanLec) through a single amino acid mutation (H84T) that eliminates mitogenicity while preserving antiviral activity against HIV, hepatitis C, influenza, and coronaviruses including SARS and MERS. Dr. Markovitz has received numerous prestigious awards including the Burroughs Wellcome Clinical Scientist Award (2003), Association of American Physicians membership (2004), and a Transformative R01 from the NIH Office of the Director (2009). National Cancer Institute – Clinical Investigator Award (1990) Life and Health Insurance Medical Research Fund Scholar (1991) American Society for Clinical Investigation (1997) Burroughs Wellcome Clinical Scientist Award (2003) Association of American Physicians (2004) Transformative R01, NIH (2009) American Clinical and Climatological Association (2012) His current research portfolio demonstrates strong funding support across multiple domains. As Principal Investigator, he leads projects including DEK-targeted therapy for juvenile arthritis (Rheumatology Research Foundation), development of H84T BanLec for Ebola/Marburg treatment (DTRA), and lectin-based lung cancer therapy (UM Mi-Kickstart). As Co-PI, he contributes to NIH-funded research on DEK in hematopoiesis and international collaborations studying HERVs in human disease. His mentorship extends to numerous doctoral students, postdocs, and medical trainees who have gone on to independent research careers. Dr. Markovitz directs a vibrant research ecosystem that includes faculty collaborators Rafael Contreras, Scott Gitlin, and Mark Kaplan. His laboratory maintains extensive collaborations across the University of Michigan and with international partners. The research program bridges basic science discoveries with translational applications, particularly in developing novel therapeutics for viral diseases, autoimmune conditions, and cancer. His work on DEK aptamers and engineered lectins represents promising pathways toward clinical applications in inflammation and infectious disease.

Jennifer Lachowiecمشاهده پروفایل

دانشیار

• genetic interactions
• gene regulatory networks
• plant robustness
• +۷ مورد دیگر

Jennifer Lachowiec serves as Associate Professor in the Department of Plant Sciences and Plant Pathology at Montana State University's College of Agriculture. Her research program focuses on understanding genetic robustness in plants through interdisciplinary approaches spanning quantitative genetics, genomics, and molecular biology. She teaches foundational courses in biometry and research design while leading a technology-driven laboratory that utilizes unoccupied aerial systems for large-scale phenotyping. Educational background: Ph.D. in Molecular and Cellular Biology, University of Washington (2014) B.S. in Genetics and Anthropology, University of Wisconsin - Madison (2008) Her research centers on predicting phenotypes from genetic sequences with emphasis on plant robustness—the capacity to maintain phenotypes despite genetic mutations and environmental fluctuations. The Lachowiec Lab integrates quantitative genetics, molecular biology, and evolutionary approaches to study gene regulatory networks and genetic interactions. A key innovation involves deploying UAVs and automated imaging systems to quantify robustness across plant populations, enabling high-throughput analysis of crop resiliency traits. This work bridges fundamental genetic mechanisms with practical agricultural applications for developing climate-resilient crops. Recent publications (2022-2025) reveal consistent focus on UAV-based phenotyping, polyploid genomics, and crop stress adaptation. Key trends include development of robust phenomic databases, genetic dissection of barley malting traits, herbicide resistance mechanisms in aquatic weeds, and metabolic responses to environmental stress. The work demonstrates strong translational impact through USDA-funded projects addressing nitrogen-efficient camelina production and heat stress tolerance in cereal crops. Scientific recognition includes: Nominated for USDA Teaching Award (2023) Phi Kappa Phi Anna K. Fridley Award (2023) College of Agriculture Teaching Award of Merit (2023) Transformative Teaching Award (2022) Open Education Resources Adoption Award (2021) Research is supported by multiple USDA NIFA and DOE grants including 'Enhancing Camelina Oilseed Production with Minimum Nitrogen Fertilization,' 'Uncovering developmental mechanisms to sustain grain number during heat stress,' and 'Genetic controls for crop microbiome recruitment.' Dr. Lachowiec serves on the North American Plant Phenotyping Network DEI Committee and has organized outreach events including MSU Family Science Day. Her laboratory, located in the Plant Bioscience Building on traditional Amskapii Pikani, Apsaalooke, Tsétsêhéstâhese, and Seliš lands, maintains specialized facilities for UAV-based phenotyping and growth room imaging systems to advance plant robustness research.