جست‌وجوی استاد و پژوهشگر

Imran Ahmadمشاهده پروفایل

عضو هیئت علمی

• Food Process Engineering
• Bioprocess Technology
• Postharvest Technology
• +۶ مورد دیگر

Imran Ahmad, Ph.D., is a Research Assistant Professor at Florida International University’s Chaplin School of Hospitality & Tourism Management, where he leverages 16 years of combined academic and industry experience to advance food-process and bioprocess engineering research. Before joining FIU, he served as affiliated faculty in the Biosystems Engineering Program at the Asian Institute of Technology (AIT) in Thailand, developing and teaching courses such as Food Analysis and Quality Assurance, Engineering Properties of Food & Bio-materials, and Biosystems Engineering Applications. From 2008-2015 he acted as instructor for AIT’s Food Engineering and Bioprocess Technology (FEBT) graduate program, coordinating three laboratory courses annually while directing the Food Processing and Bioprocess Research Laboratories. Education & Training: Although explicit degree details are not provided, Dr. Ahmad’s extensive teaching record at graduate level, coupled with his authorship of high-impact journal articles and textbooks, indicates advanced training in Food/ Bioprocess Engineering or a closely related discipline. Research Interests: Dr. Ahmad’s work centers on quality management of fresh produce, agri-food supply-chain optimization, post-harvest technology, predictive modelling, and the application of artificial intelligence and machine-learning techniques to food systems. He is particularly interested in how engineering properties of food materials influence processing outcomes, and how data-driven models can forecast shelf-life and safety parameters for seafood and other perishables. Publications Trend: Across his recent works, a clear trajectory emerges from traditional food-engineering experimentation toward integration of machine-learning and AI tools for predictive quality assurance. Studies on shrimp shelf-life estimation via micro-calorimetry and machine-learning illustrate this convergence of engineering rigor with advanced analytics. Scientific Awards & Recognition: While no formal awards are explicitly listed, Dr. Ahmad has earned international recognition through invitations to deliver professional training and outreach programs across Thailand, Pakistan, Myanmar, Sri Lanka, Laos, Vietnam, and Cambodia under AIT-sponsored initiatives. Advising & Grant Activity: Dr. Ahmad has co-supervised numerous graduate research projects covering cereals, fruits, vegetables, dairy, and value-added food production. His industry background includes serving as Project Manager (Manufacturing) for Dutch Mill Group, Thailand’s largest dairy company, where he oversaw scale-up and quality-assurance operations. Laboratories & Teams: At AIT he spearheaded two key graduate research laboratories—the Food Processing Laboratory and the Bioprocess Laboratory—managing facilities and mentoring teams of master’s and doctoral students for eight consecutive years.

Damien LAAGEمشاهده پروفایل

استاد پژوهشی

• Theoretical chemistry
• Chemical reactivity in solution
• Interfaces
• +۴ مورد دیگر

Damien LAAGE is a Research Professor at CNRS and an Associate Professor at Ecole Normale Supérie , affiliated with the Department of Chemistry . He works on theoretical and computational approaches to chemical reactivity in aqueous environments, with a focus on water dynamics, hydrogen-bond networks, and enzyme catalysis. PhD in Theoretical Chemistry (2001), Sorbonne University Paris, supervised by JT Hynes MSc in Physics (1997), Ecole Normale Supérieure Paris His research leverages machine learning and quantum simulations to model proton transport, hydration shells, and biochemical reactions. Recent work includes applications of neural network potentials and deep learning to interfacial and enzymatic systems. He has received the ERC Starting Grant (2012) , Young researcher award from the French chemical society (2012), and CNRS bronze medal (2010). His publications emphasize water reorientation , hydrogen-bond jumps , and enzyme dynamics .

José Luis Guzmán Guerreroمشاهده پروفایل

استاد

• Animal Production
• Agroindustrial By-Products Utilization
• Reproductive Physiology in Goats
• +۴ مورد دیگر

Dr. José Luis Guzmán Guerrero is a University Professor at Huelva University's Department of Agroforestry Sciences under the Higher Technical School of Engineering. With a veterinary medicine background (Licentiate, 1987; PhD, 1992, University of Córdoba), he transitioned from Acting Assistant Professor roles to his current Full Professor position since 2023. Specializes in Animal Production systems Focuses on agro-industrial by-product utilization Conducts reproductive physiology research in Mediterranean goats Investigates sustainable grazing systems Studies melatonin's role in reproductive cycles His recent research employs machine learning algorithms for meat traceability systems, as demonstrated in Spanish Mediterranean lamb carcass classification studies. He explores citrus by-products in goat diets, analyzing impacts on cheese composition and meat quality. Key research themes include Comparative analysis of organic vs conventional goat farming Carcass and meat quality assessment Semen cryopreservation techniques Fatty acid profiling in dairy products Photoperiodic control of reproduction Publications demonstrate interdisciplinary approaches combining animal nutrition , reproductive endocrinology , and food technology , with significant emphasis on sustainable agricultural practices in Mediterranean ecosystems.

Minghan Chenمشاهده پروفایل

دانشیار

• Computational Biology
• Bioinformatics
• Machine Learning
• +۵ مورد دیگر

Minghan Chen is an Associate Professor in the Computer Science Department at Wake Forest University and a Z. Smith Reynolds Foundation Faculty Fellow. Her research bridges computational methods with biological applications, focusing on developing innovative algorithms for understanding complex biological systems and diseases. Education: PhD from Virginia Tech (2019) Dr. Chen's research interests center on multiscale modeling, knowledge-guided machine learning, and parameter optimization algorithms specifically designed for bio-related applications. Her work particularly focuses on Alzheimer's disease progression, where she develops computational frameworks to model the spatiotemporal dynamics of neuropathological events. She integrates techniques from computational biology, bioinformatics, and machine learning to create models that can simulate and predict disease progression at multiple scales. Her recent publications demonstrate a strong trend toward increasingly sophisticated computational approaches to Alzheimer's disease research, with particular emphasis on brain network analysis, single-cell genomics, and multimodal data integration. Her work combines graph theory, deep learning, and multiscale modeling to create comprehensive frameworks that capture the complexity of neurodegenerative processes. Awards and Recognition: Z. Smith Reynolds Foundation Faculty Fellow Dr. Chen actively mentors students in her research group, currently recruiting both graduate and undergraduate students interested in computational biology and machine learning. She has successfully guided students to recognition, including Jingwen who received the best poster award at ACM-BCB in 2022. Her research is supported by stipend funding for students engaged in rigorous, publication-quality research. Dr. Chen has organized significant academic events including the Biological Modeling and Mining workshop (BMM, 2021) and the Virtual Deep Learning Bootcamp (May 2022), demonstrating her commitment to advancing computational methods in biological sciences.

Steven Artandiمشاهده پروفایل

استاد

• Telomere biology
• Cancer biology
• Stem cell function
• +۴ مورد دیگر

Steven Artandi, MD, PhD serves as the Laurie Kraus Lacob Director of the Stanford Cancer Institute, the Jerome and Daisy Low Gilbert Professor of Medicine and Biochemistry at Stanford University, Senior Associate Dean for Cancer Programs for Stanford School of Medicine, and Chief Cancer Officer for Stanford Health Care. His academic appointments include Professor in Medicine (Hematology) and Biochemistry, and membership in Bio-X, the Maternal & Child Health Research Institute (MCHRI), and the Stanford Cancer Institute. Dr. Artandi's research focuses on telomeres and telomerase, exploring their critical roles in cancer development, aging, and stem cell function. His laboratory investigates how telomere shortening influences disease processes and how telomerase, beyond its role in telomere elongation, regulates stem cells. His work has revealed novel mechanisms by which telomerase endows cells with immortal growth properties and how developing cancers overcome critical barriers during carcinogenesis. His research spans molecular, cellular, and organismal levels, employing diverse genetic and biochemical approaches to understand telomerase function. His recent work demonstrates catalytic-activity-independent roles for TERT in stem cell competition, TERT's contribution to tissue regeneration after radiation damage, and advanced methods for telomere measurement that distinguish healthy aging from disease. His research has significant implications for understanding cancer origins, developing regenerative therapies, and creating clinical biomarkers for aging and disease. Outstanding Investigator Award from the National Cancer Institute Fellow, American Association for the Advancement of Science (AAAS) (2008) Elected Member, American Society for Clinical Investigation (2008) Elected Member, Association of American Physicians (2015) Member, American Association for the Advancement of Science (2019) Dr. Artandi actively mentors students across multiple programs, serving as Med Scholar Project Advisor, Doctoral Dissertation Reader, Postdoctoral Faculty Sponsor, and Doctoral Dissertation Advisor. He is involved in numerous grant-funded research projects focused on telomere biology, cancer development, and stem cell function. His laboratory collaborates extensively with other researchers at Stanford and beyond, contributing to large-scale projects like the Tabula Sapiens single-cell atlas. The Artandi Laboratory maintains active research programs investigating telomerase function in various tissue contexts, stem cell dynamics, and cancer development mechanisms. The lab employs cutting-edge techniques including lineage tracing from the Tert locus, single-cell analysis, and advanced genomic approaches to study telomere biology in health and disease.

• Biomaterials
• Antimicrobial Materials
• Nanotechnology
• +۳ مورد دیگر

Dr. Samuel Cheeseman is a Research Fellow focused on biomedical engineering at RMIT University. He holds a Melbourne Postdoctoral Fellowship within the Department of Biomedical Engineering under the Faculty of Engineering and Information Technology. His research spans multiple interdisciplinary fields at the intersection of materials science, nanotechnology, and biomedical applications with emphasis on antimicrobial solutions. Dr. Cheeseman earned his PhD from RMIT University, establishing the foundation for his current research trajectory in biomaterials and nanotechnology. His academic journey demonstrates a strong commitment to advancing materials science for biomedical applications, particularly in addressing antimicrobial resistance challenges. Dr. Cheeseman's research interests center around biomaterials , with specific focus on antimicrobial materials, liquid metals, nanotechnology applications, and antifouling coatings. His work investigates how nanostructured surfaces interact with microbial cells, develops novel hydrogel materials for biomedical applications, and explores the potential of liquid metals in antimicrobial contexts. His research has significant implications for combating antibiotic-resistant bacterial strains and developing next-generation antimicrobial technologies through innovative materials science approaches. Analysis of Dr. Cheeseman's publication record reveals a strong trajectory in developing advanced biomaterials with antimicrobial properties. His work spans fundamental materials characterization to applied biomedical solutions, with particular emphasis on nanostructured surfaces, liquid metals, and hydrogel systems. The interdisciplinary nature of his research connects materials science, microbiology, and biomedical engineering to address pressing healthcare challenges related to infection prevention and treatment, with significant contributions to understanding microbial cell death mechanisms on engineered surfaces. Dr. Cheeseman is actively involved in research funding, currently leading the project "Developing Smart, Shape-Transforming Nanomaterials for Biomedical Applications" (2023-2026). His collaborative approach is evident through extensive co-authorship across multiple high-impact publications, though specific individual awards aren't detailed in the available information. As a Research Fellow, Dr. Cheeseman likely mentors junior researchers given his postdoctoral fellowship status. His extensive collaboration network spans multiple institutions and disciplines, suggesting active participation in research teams that bridge engineering, materials science, and biological applications. His work on machine learning applications for antimicrobial screening demonstrates integration of computational approaches with traditional laboratory research. Dr. Cheeseman's research likely involves specialized laboratories for biomaterials synthesis, nanofabrication, and biological testing. His work on synchrotron-based techniques indicates access to advanced national research infrastructure. His current project on shape-transforming nanomaterials suggests development of responsive biomaterial systems that can adapt to biological environments for targeted therapeutic applications.

Andre Berndtمشاهده پروفایل

دانشیار

• Protein Engineering
• High-Throughput Assays
• Machine Learning
• +۵ مورد دیگر

Andre Berndt is an Associate Professor of Bioengineering at the University of Washington, with affiliations at the Brotman Building on the South Lake Union campus, and holds appointments at the Molecular Engineering and Science Institute, the Institute for Stem Cell and Regenerative Medicine, and the Center of Excellence for the Neurobiology of Addiction, Pain and Emotion. Education: PhD in Biophysics (2011) from Humboldt University Berlin; Postdoctoral training (2011-2017) in Optogenetics at Stanford University His lab develops genetically encoded fluorescent biosensors for real-time monitoring of biochemical signals in neuronal networks, including calcium , voltage , and neuromodulator sensors (dopamine, opioid). By integrating machine learning and high-throughput screening , his team accelerates protein engineering cycles for next-generation sensors. 2024 research in Nature Computational Science demonstrated AI-driven calcium indicator engineering, while 2023 publications in ACS Sensors and bioRxiv showcased innovations in far-red reactive oxygen species sensors and neurotransmitter detection . His tools enable unprecedented precision in imaging brain signaling and network dynamics. Scientific Honors 2024 Excellence in Research Award 2023 McKnight Technology in Neuroscience Award 2020 NARSAD Young Investigator Grant 2018 Beckman Young Investigator Finalist Berndt teaches courses in BioEng 317 Biomedical Signals and Sensors Laboratory and BioEng 463/563 Optogenetics , with his lab's work featured in 2024 UW promotional materials about machine learning's role in protein engineering .

John Markleyمشاهده پروفایل

استاد

• NMR Spectroscopy
• Structural Biology
• Biophysics
• +۲ مورد دیگر

John Markley is an Affiliate Faculty member in the Department of Chemistry at the University of Colorado Denver's College of Liberal Arts and Sciences. His academic career spans decades, with a Ph.D. in Biophysics from Harvard University (1969) and a B.A. in Chemistry from Carleton College (1963). Education: Ph.D., Biophysics, Harvard University, 1969 B.A., Chemistry, Carleton College, 1963 Professor Markley's research focuses on applications of NMR spectroscopy to biological systems, advancing structural biology and biochemical analysis. His recent publications highlight interdisciplinary work in: Protein-ligand interactions and epigenetics Iron-sulfur cluster dynamics Collagen structural stability Computational NMR tools (e.g., I-PINE) Bromodomain function and mitochondrial metabolism Plant peptide signaling and endoplasmic reticulum proteins While no specific scientific awards or advising activities are listed, his work bridges biophysics, chemistry, and molecular biology. Publications demonstrate methodological innovations in NMR, X-ray scattering, and metabolomics.

• Autosomal Dominant Polycystic Kidney Disease
• Hereditary Kidney Diseases
• Hypertension
• +۴ مورد دیگر

Dr. Arlene Chapman is a distinguished Professor of Medicine and Chief of the Section of Nephrology at the University of Chicago. She serves as Associate Director of the Institute for Translational Medicine and Director of the Clinical Research Center, where she has established a whole room calorimetry core for metabolism research. Her leadership extends to clinical research infrastructure development and multidisciplinary care coordination across the institution. Dr. Chapman's research spans three decades of pioneering work in autosomal dominant polycystic kidney disease (ADPKD), with particular focus on hereditary kidney diseases, hypertension, and kidney function during pregnancy. She has made seminal contributions to the development of magnetic resonance imaging techniques for total kidney volume assessment—a key biomarker in ADPKD progression. Her work has directly influenced clinical trials for novel therapies including vasopressin V2 receptor antagonists and rigorous blood pressure control strategies that led to FDA-approved treatments. The publication landscape reveals a consistent trajectory of impactful research, with recent work focusing on obesity's role in ADPKD progression, racial disparities in transplantation outcomes, pain assessment instruments, and metabolic alterations in early disease. Her collaborative approach is evident in numerous multi-center studies and guideline development efforts, particularly the KDIGO 2025 clinical practice guidelines for ADPKD management. Her scientific achievements were recognized with the 2020 Lillian Jean Kaplan International Prize from the International Society of Nephrology, honoring her pioneering efforts in ADPKD research, biomarker development, and leadership in interventional clinical trials. This prestigious award underscores her global impact on the field. As an educator, Dr. Chapman actively mentors medical students, residents, fellows, and junior faculty, contributing to the development of the next generation of nephrologists and researchers. Her grant portfolio includes significant NIH funding for studies on melatonin and blood pressure in African Americans, symposia for molecular insights in PKD, and clinical centers for the HALT-PKD trials. The Clinical Research Center she directs provides critical infrastructure supporting numerous investigators across medical disciplines.

Matthew Brooksمشاهده پروفایل

استادیار مدعو

• Plant Biology
• Genetics
• Biochemistry
• +۷ مورد دیگر

Matthew Brooks is an Adjunct Assistant Professor at the University of Illinois at Urbana-Champaign, affiliated with the College of Liberal Arts & Sciences and the School of Integrative Biology . His research focuses on integrating transcriptomic and physiological measurements to uncover gene regulatory networks coordinating photosynthesis and nitrogen use in plants. Education: B.S. in Plant Biology from Michigan State University Ph.D. in Genetics from the University of California-Berkeley NIH-NRSA Postdoctoral Fellow at New York University's Center for Genomics and Systems Biology Brooks employs a systems biology approach to investigate molecular factors in photosynthesis-nitrogen coordination, natural genetic variation influencing metabolic crosstalk, and strategies for improving nitrogen use efficiency in crops. His work has implications for reducing greenhouse gas emissions from nitrogen fertilizers and understanding cellular network responses to climate change. Recent publications highlight his contributions to nitrogen signaling dynamics, transcription factor interactions, and computational modeling of plant regulatory networks. Key journals include Plant, Cell & Environment , Nature Communications , and Proceedings of the National Academy of Sciences . Scientific Awards: NIH-NRSA Postdoctoral Fellowship Brooks collaborates with researchers such as Gloria M. Coruzzi and Krishna K. Niyogi, bridging basic research in model species with applied crop improvement projects. His methodologies combine genomics, phenotyping, and computational biology to address environmental signaling challenges.

• Data Science
• Open Science
• Causal Inference
• +۹ مورد دیگر

Dr. Jacquelyn Cragg is an Assistant Professor at the University of British Columbia's Faculty of Pharmaceutical Sciences, specializing in data science and epidemiology. She completed her MPH and PhD in epidemiology and biostatistics at UBC's School of Population and Public Health, followed by postdoctoral fellowships at Harvard T.H Chan School of Public Health and ICORD. Her research focuses on identifying causes, risk factors, and biomarkers for neurological disease progression in conditions like Parkinson’s disease, ALS, multiple sclerosis, spinal cord injury, and stroke. Her work integrates genetic, biochemical, clinical, and medication history data with traditional epidemiological methods and machine-learning algorithms, addressing drug safety, effectiveness, and repurposing. Current research projects include studies on herpes zoster vaccination and dementia risk, cost-related medication nonadherence in Canada, and sex differences in cardiovascular disease prevalence among spinal cord injury patients. Dr. Cragg employs causal inference frameworks and contributes to pharmacoepidemiology through systematic reviews, meta-analyses, and simulation modeling. She leads interdisciplinary collaborations and has supervised students like Tiffany Price (PhD Pharmaceutical Sciences), exploring topics such as anticholinergic effects in ALS. Her affiliations include UBC's Faculty of Pharmaceutical Sciences and ICORD, a research center focused on spinal cord injury. Methodologically, her work spans clinical trial design, observational studies, and advanced analytical techniques. She advocates for open science practices and participates in graduate education through research supervision and curriculum development.

Jing Guoمشاهده پروفایل

استادیار

• Biochemical Engineering
• Separation Processes
• Bioseparations
• +۳ مورد دیگر

Jing Guo is an Assistant Professor in the Department of Chemical Engineering at Polytechnique Montréal , focusing on optimizing bioproduction processes for therapeutic proteins. His research integrates experimental and modeling approaches to enhance productivity and product quality. Ph.D. in Chemical Engineering, University of Virginia (2016) B.Eng. in Chemical Engineering, Tianjin University (2011) His expertise centers on bioseparations and chromatography , addressing challenges in biopharmaceutical purification. Recent work includes machine learning applications for O-glycosylation prediction and mechanistic modeling of protein A chromatography. Jing has authored 14 publications, with 12 journal articles spanning 2014–2025. His research bridges biotechnology , process modeling , and separation science , emphasizing scalability and industrial applicability. Prior to Polytechnique, he held positions at MIT (2022–2025), Bristol Myers Squibb (2020–2022), and Teva Pharmaceuticals (2018–2020), alongside postdoctoral work at the University of Delaware (2016–2018).

Benoît Courcellesمشاهده پروفایل

دانشیار

• Geotechnical Engineering
• Environmental Engineering
• Water Quality
• +۵ مورد دیگر

Benoît Courcelles is an Associate Professor at the Department of Civil, Geological and Mining Engineering at Polytechnique Montréal , where he leads a multidisciplinary research program in geotechnical and environmental engineering . His work bridges soil improvement , groundwater remediation , and geothermal energy systems , with a focus on precipitation phenomena in granular media . He co-leads the Chair in Geothermal Energy Integration and the Research Group on Geothermal and Hydrogeology .

Olivier Henryمشاهده پروفایل

استاد

• Biochemical Engineering
• Bioprocess Development
• Protein Production
• +۸ مورد دیگر

Olivier Henry is a Full Professor in the Department of Chemical Engineering at Polytechnique Montréal , with a focus on biochemical engineering and bioprocess development . His research explores the production of recombinant proteins , viral vectors , and vaccine manufacturing , particularly through animal cell culture and metabolic engineering of CHO and HEK293 cells . He has published extensively on glycosylation analysis , SPR biosensors , and bioprocess optimization . Research Interests include: Development and control of CHO cell bioprocesses Viral vector and vaccine production Glycosylation characterization of therapeutic proteins Surface plasmon resonance (SPR) for protein interaction analysis Metabolic modeling and process intensification Bioprocess monitoring and soft sensor development Recent Trends in his 75 publications emphasize: Integration of machine learning in bioprocess control Advancements in SPR-based assays for monoclonal antibody quality Optimization of fed-batch and perfusion cultures for vaccine antigens Metabolic engineering of mammalian cell lines to reduce byproduct accumulation Standardization of glycosylation analysis for therapeutic proteins Supervision : Mentored 5 professional master’s and 1 DESS students, with 11 Ph.D. and 6 master’s theses completed.

• Theoretical & Computational Chemistry
• Quantum Chemistry
• Protein Circular Dichroism
• +۳ مورد دیگر

Dr. David Rogers is a computational chemist at the University of Nottingham , specializing in theoretical chemistry and quantum chemical methods development. His research focuses include protein circular dichroism calculations, targeted covalent inhibitors, and computational modeling for energy materials. Academic appointments at Universities of Edinburgh, Sheffield, and Nottingham PhD in quantum chemistry from University of Manchester Recipient of Carlsberg Foundation Fellowship (2008) Research Interests: Primarily in Theoretical & Computational Chemistry , with specific emphasis on: Quantum chemical methods development Protein-ligand binding dynamics Electronic circular dichroism calculations Materials for energy applications Computational drug design approaches Molecular modeling of nanoscale systems Publication Trends (2019-2024): Recent work shows growing focus on biomedical applications of computational chemistry, particularly in targeted covalent inhibition and aptamer design , alongside traditional strengths in quantum chemical methods and energy materials research. Scientific Awards: Carlsberg Foundation Fellowship (2008) Teaching Activities: Academic tutor for physical chemistry modules (CHEM1011, CHEM2017), lab demonstrator for advanced physical chemistry labs (CHEM3005, CHEM3015, CHEM3027), project supervisor (CHEM3011), and friendly expert for synoptic module NATS4001/LIBA3002.