جستجوی استاد راهنمای دانشگاهی

Peter Bühlmannمشاهده پروفایل

استاد

• High-dimensional Statistics
• Causal Inference
• Machine Learning
• +۳ مورد دیگر

Peter Bühlmann is a Professor at ETH Zürich within the Seminar für Statistik , focusing on high-dimensional statistics, causal inference, and machine learning. His work bridges theoretical advancements with practical software implementations in R packages like pcalg , mboost , and glmmlasso , impacting fields such as genomics, proteomics, and intensive care analytics. Key Contributions : Causal structure learning, stability selection, anchor regression, and deconfounding. Software : Developed widely used R packages for statistical modeling and causal inference. Teaching : Courses on high-dimensional statistics at ETH Zürich and international institutions. Research Trends : Recent articles emphasize causal robustness, domain adaptation, and applications in medicine. His work addresses challenges in heterogeneous data, missing values, and covariate shifts using methods like spectral deconfounding and residual prediction tests. Scientific Recognition : Co-author of a paper designated as a New Hot Paper (Meinshausen and Bühlmann, 2006) by Essential Science Indicators, indicating significant impact in high-dimensional multiple testing.

Syed Hani Hassan Abidiمشاهده پروفایل

دانشیار

• Virology
• Immunology
• Viral Oncology
• +۷ مورد دیگر

Syed Hani Hassan Abidi is an Associate Professor at the Department of Biomedical Sciences , School of Medicine , Nazarbayev University , Kazakhstan. His research integrates virology , immunology , viral oncology , and bioinformatics , with a focus on HIV molecular epidemiology , viral evolution , and drug resistance . He has led international projects across Pakistan, Kenya, Afghanistan, and Kazakhstan, and is recognized for innovative teaching and MOOC development. Education: PhD in Virology and Immunology Research Interests: His laboratory employs bioinformatics (machine learning, AI), genomics , and proteomics to study HIV phylodynamics , viral co-infections , and oncogenic viruses like EBV in prostate cancer. He also explores microbiome-immunity interactions and designs antiviral drugs/vaccines . Recent Research Trends: His 2025 publications emphasize COVID-19 immunopathology , HIV/syphilis epidemiology in Pakistan , and particle physics contributions via ATLAS , showcasing interdisciplinary impact. Awards & Recognition: Outstanding Teachers Award (2019, Aga Khan University) Fellowship of Higher Education (UK, 2022) Teaching & Grants: He pioneered Pakistan’s first MOOC on Computer-Based Drug Discovery (2014) and received a 2022 SoTL grant for MOOC-based molecular biology education. His teaching integrates animations , films , and flipped classrooms . Collaborations & Labs: Leads projects on HIV drug resistance , HCV genomics in Kazakhstan , and AI-driven dementia diagnostics (Kazakh Brain Atlas). His lab collaborates with global institutions to advance viral disease surveillance and therapeutic innovation .

Alexis Battleمشاهده پروفایل

دانشیار

• Genomics
• Machine Learning
• Computational Biology
• +۳ مورد دیگر

Alexis Battle is an Associate Professor at Johns Hopkins University with appointments in Biomedical Engineering , Computer Science , and Genetic Medicine (secondary). She directs the Malone Center for Engineering in Healthcare and serves as Deputy Director of the Data Science and AI Institute . Educated at Stanford University (PhD in Computer Science, 2013), Battle transitioned to academia after leadership roles at Google. Research Focus: Battle’s work bridges genomics and machine learning , emphasizing the impact of genetic variation on human health. Her lab develops tools like Watershed to predict functional effects of rare variants, aiming to enhance rare disease diagnosis. Key themes include non-coding DNA analysis , personalized genomics , and systems biology , with applications in cardiovascular disease and neurodegenerative disorders . Publications & Awards: Over 60 peer-reviewed articles in journals like Nature , Science , and Genome Biology , with recent emphasis on single-cell transcriptomics , multiomics integration , and telomere biology . Recipient of the President’s Frontier Award (2022), Microsoft Investigator Fellowship (2019), and Searle Scholar (2016). Scientific Awards: 2022 President’s Frontier Award 2019 Microsoft Investigator Fellowship 2019 Johns Hopkins Discovery Award 2017 Johns Hopkins Catalyst Award 2016 Searle Scholar Advising & Funding: Mentors 11 PhD students, 3 undergraduates, and postdoctoral fellows. Her research is funded by NIH, Searle Scholars, and institutional grants. The Battle Lab collaborates on projects like the GTEx Consortium , focusing on gene regulation and clinical genomics .

Kathryn Roederمشاهده پروفایل

استاد

• Statistical Genetics
• Genomics
• Biostatistics
• +۵ مورد دیگر

Kathryn Roeder is the UPMC University Professor of Statistics and Life Sciences at Carnegie Mellon University (CMU), affiliated with the Dietrich College of Humanities and Social Sciences and the Departments of Statistics & Data Science and Computational Biology. Her research focuses on developing statistical methods for genetic and genomic data, particularly in identifying autism risk genes and analyzing single-cell multi-omic data. She earned her Ph.D. in Statistics from Penn State University and has been at CMU since 1994, previously serving as Vice Provost for Faculty (2015–2019). Education: Ph.D. in Statistics, Penn State University (1988) B.S. in Wildlife Resources, University of Idaho (1982) Research Interests: Her work integrates modern statistical techniques (high-dimensional statistics, machine learning, networks) to study complex diseases like autism and schizophrenia. Recent efforts include tools for analyzing single-cell RNA-seq and proteomic data, such as UNICORN, DAWN, and SCEPTRE. Key Awards: COPSS Distinguished Achievement Award (2020) National Academy of Sciences Member (2019) COPSS Presidents’ Award (1997) AAAS Fellow (2020) Advising & Grants: She has advised over 20 Ph.D. students, many contributing to landmark studies in autism genetics. Her grants include NIH funding for projects like the Autism Sequencing Consortium. Current research teams focus on computational biology and statistical genetics. Labs & Collaborations: Her lab develops software tools (e.g., TADA, MIND) and collaborates with the Autism Sequencing Consortium and iPSYCH-BROAD Consortium on large-scale genomic studies.

Kelly Arnoldمشاهده پروفایل

دانشیار

• Biomedical Computation and Modeling
• Drug Delivery and Therapeutics
• Systems Immunology
• +۵ مورد دیگر

Kelly Arnold is an Associate Professor in the Department of Biomedical Engineering at the University of Michigan. Her research integrates systems engineering principles with immunology to investigate variability in immune responses across infection, vaccination, and injury, with a focus on computational modeling and clinical translation. Research Focus Systems-level immune response modeling Vaccination and antibody functionality Vaginal microbiome-host interactions Chronic lung disease progression Computational serology and proteomics Recent Work Her 2025 studies examine SARS-CoV-2 vaccination responses in cancer patients and computational frameworks for vaginal probiotics. Earlier works (2024-2007) span COPD progression, lupus fibrosis, HIV susceptibility, and tissue engineering for fertility preservation. Methodologies include proteomic profiling, network modeling, and microfluidic systems.

• Algae Biotechnology
• Marine Biology
• Seagrass Ecology
• +۹ مورد دیگر

Distinguished Professor Peter Ralph is a faculty member at the University of Technology Sydney (UTS), holding the position of Professor of Marine Biology within the Faculty of Science and serving as the Executive Director of the Climate Change Cluster (C3). He is also the founder of the NSW Deep Green Biotech Hub and an influential member of global initiatives such as UNESCO’s Blue Carbon Scientific Working Group and the Czech Academy of Sciences’ Global Change Research Centre. Leadership Roles: Director of the Climate Change Cluster, Deputy-Chair of Sydney Institute of Marine Sciences. Research Collaborations: Partnerships with CSIRO, industry, NGOs, and international institutions. Key Contributions: Over 280 publications and $15M+ in research funding. His research focuses on algae-based solutions to climate change and sustainability, including carbon capture, bioplastic production, waste-water remediation, and circular bio-economy models. He explores advanced manufacturing through Industry 4.0 integration and zero-waste bio-refinery approaches, while also advancing algal phenomics using automated high-throughput screening systems. Recent articles highlight innovations in AI-driven biorefinery optimization, microalgal bioprospecting, and mutagenesis techniques for rare earth element extraction. His work bridges environmental science with engineering, addressing challenges in algae cultivation scalability and commercialization. Scientific Awards: 2012 and 2018 UTS Vice-Chancellor’s Research Excellence Awards. Peter has secured major grants, including the Fermentalg PhD Project on Microalgae Screening, PNG Natural Seafood’s Macroalgae Product Development, and the Winifred Trust Foundation’s Aquaculture initiative. His research teams collaborate across disciplines to transform algae into sustainable resources for food, energy, and biomanufacturing. He leads UTS’s Climate Change Cluster (C3), a hub for interdisciplinary climate research, and actively promotes algae-building technologies and carbon storage innovations through biomasonry products.

Jacques Archambaultمشاهده پروفایل

استاد

• Human Papillomavirus (HPV)
• Polyomavirus
• Viral DNA Replication
• +۴ مورد دیگر

Dr. Jacques Archambault is a Professor in the Department of Microbiology and Immunology at McGill University , and an associate member of the Division of Experimental Medicine since 2016. His research focuses on the molecular biology and pathogenesis of human papillomaviruses (HPVs) and polyomaviruses (HPyVs), with an emphasis on their replication mechanisms as episomes in host cells. The Archambault laboratory employs functional genomics, proteomics, and chemical biology approaches to identify cellular pathways exploited by these viruses and develop high-throughput assays for screening small molecule inhibitors of viral replication. Analysis of his recent publications reveals a strong focus on HPV and HPyV replication machinery, including studies on the E1 helicase, UAF1-USP1 interactions, and structural characterization of viral proteins involved in DNA replication. His work bridges virology, oncology, and drug discovery, particularly targeting oncogenic HPV types implicated in anogenital and oropharyngeal cancers, as well as HPyVs like BKPyV and JCPyV that cause pathologies in immunosuppressed patients. Current efforts in the lab aim to elucidate the molecular mechanisms by which HPVs and HPyVs replicate their genomes and to develop antiviral therapies targeting these processes. Techniques such as fluorescence anisotropy, NMR spectroscopy, and crystallography are frequently employed to study protein-DNA and protein-protein interactions critical to viral replication.

Gabriela V. Cohen Freueمشاهده پروفایل

دانشیار

• Statistical Methodology
• High-Dimensional Data Analysis
• Robust Statistics
• +۶ مورد دیگر

Gabriela V. Cohen Freue is an Associate Professor in the Department of Statistics at the University of British Columbia (UBC), Vancouver Campus, and holds a Canada Research Chair (CRC Tier 2). She leads an interdisciplinary research program focusing on developing robust statistical methodologies for analyzing high-dimensional data in genomics and proteomics, with applications in medical sciences. Her work addresses challenges such as outliers, collinearity, and measurement errors, with applications in biomarker discovery for diseases like multiple sclerosis, cardiovascular disorders, and asthma. Her academic journey includes collaborations across disciplines, including with the BC Cancer Agency, PROOF Centre of Excellence, and iCAPTURE. She has pioneered methods like the Penalized Elastic Net S-Estimator (PENSE) and contributed to proteomic data analysis tools such as the Protein Group Code Algorithm (PGCA). She also co-developed the MDQC quality control method for microarrays. Research interests include robust regression, biomarker development, and statistical methods for big data. Her team includes postdocs, PhD, and MSc students, with a focus on training in both statistical rigor and interdisciplinary collaboration. Notable grants include a CANSSI Collaborative Research Team Project (CRT) award for robust causal inference and prediction modeling. Teaching responsibilities span statistical consulting, high-dimensional biological data analysis, and generalized linear models. She emphasizes active learning and real-world problem-solving in her courses. Her lab’s work is supported by grants from the Data Science Institute (DSI) and collaborations with institutions like the PROOF Centre. Alumni of her group hold positions in academia (e.g., George Mason University) and industry (e.g., Merck, BC Cancer Research Centre).

Maria Chikinaمشاهده پروفایل

استادیار

• Computational Biology
• Genomics
• Machine Learning
• +۷ مورد دیگر

Maria Chikina is an Assistant Professor at the University of Pittsburgh School of Medicine's Department of Computational and Systems Biology. She holds a PhD in Molecular Biology from Princeton University. Her research focuses on developing computational methods to analyze large-scale genomic datasets, bridging statistical rigor with biological insights to overcome experimental biases. Key research areas include latent variable modeling (e.g., PLIER, CellCODE), interpretable neural networks for sequence-to-function modeling, evolutionary rate analysis (RERconverge), and applications in tumor immunology, exercise genomics, and infectious disease (e.g., SARS-CoV-2). Her lab has developed tools like InstaPrism, NIFA, and L0 segmentation for data-driven biological discovery. Her work spans collaborations with institutions like UPMC (on tumor microenvironment) and the Molecular Transducers of Physical Activity Consortium (MoTraPAC). Notable projects include analyzing convergent evolution in marine mammals and subterranean species, and developing epigenetic biomarkers for disease states through the ECHO program. Lab members include PhD students (Rezwan Hosseini, Tugrul Balci) and postdocs (Tina Subic, Anish Sevekari). Past students Wynn Meyer now leads a group at Lehigh University. Her group emphasizes open-source tools (GitHub repository ChikinaLab) and interdisciplinary approaches to systems biology challenges.

David Junckerمشاهده پروفایل

استاد

• Microfluidics
• Nanotechnology
• Lab-on-a-Chip
• +۶ مورد دیگر

David Juncker is a Professor and Department Chair of the Department of Biomedical Engineering at McGill University. He serves as a Principal Investigator at the McGill University & Genome Quebec Innovation Centre and holds associate memberships in the Department of Neurology and Neurosurgery, Department of Electrical and Computer Engineering, Division of Experimental Medicine, Department of Surgery, and Goodman Cancer Research Centre. His research focuses on micro- and nano-bioengineering technologies for bioanalysis, precision medicine, and organs-on-chips. Key areas include microfluidics, lab-on-a-chip devices, biomedical sensors, medical diagnostics, biomaterials, tissue engineering, and cancer biomarker discovery. His lab develops scalable antibody microarrays, self-powered diagnostic platforms, microfluidic probes for brain tissue perfusion, and nanogradients for neuronal navigation, with applications in cancer diagnostics, global health, and neuroscience. Recent publications (2023-2025) reveal strong emphasis on extracellular vesicle analysis, single-cell proteomics, 3D-printed microfluidic/organ-on-a-chip systems, and capillary-driven circuits. Key trends include low-cost point-of-care diagnostics, advanced circulating tumor cell isolation methods, and biomimetic synthetic vesicles for drug delivery, demonstrating translational potential in early disease detection. Dr. Juncker leads a highly interdisciplinary team comprising undergraduate and graduate students, post-doctoral fellows, and staff from diverse scientific, engineering, and cultural backgrounds. His lab actively recruits Canadian/permanent resident graduate students for projects on single extracellular vesicle and protein detection in cancer and infectious diseases, leveraging microfluidics and wearables for biomarker discovery. The Juncker Lab operates from the McGill University & Genome Quebec Innovation Centre (740 Dr. Penfield Avenue, Room 6206). It maintains a collaborative, multicultural environment focused on developing transformative micro- and nano-bioengineering technologies with significant potential impact on human health diagnostics and treatment.

David Buchwalterمشاهده پروفایل

استاد

• Freshwater Ecology
• Aquatic Toxicology
• Environmental Contaminants
• +۳ مورد دیگر

David Buchwalter is a Professor in the Department of Biological Sciences at North Carolina State University (NCSU). His research focuses on contaminants and abiotic stressors in freshwater environments, with particular emphasis on aquatic insects' physiological responses. He leads the Buchwalter Lab, studying ecological physiology and toxicology in aquatic invertebrates, linking biological organization levels to understand human impacts on aquatic life. Research interests include trace metal bioaccumulation, thermal stress, osmoregulation, and PFAS effects. His work integrates comparative physiology, ecotoxicology, and environmental monitoring. Key projects involve the NCSU Center for Environmental and Health Effects of PFAS and Center for Human Health and the Environment (CHHE). Awards: 2015 Fulbright Senior Scholar (University of Otago, New Zealand). Advising includes students like Dr. Jamie Cochran and Dr. Sara Orr. Collaborative grants include NSF-funded studies on thermal physiology and ion transport in freshwater ecosystems. The lab emphasizes experimental approaches to understand stressor impacts across physiological and ecological scales. Lab affiliations: Biological Sciences; Affiliated with Toxicology & Environmental Health Sciences, Ecology, Evolution and Conservation Biology, and Integrative Physiology and Neurobiology programs.

Nick Paulمشاهده پروفایل

استاد

• Marine Science
• Seaweed Aquaculture
• Functional Foods
• +۵ مورد دیگر

Professor Nick Paul is a marine scientist at the University of the Sunshine Coast (UniSC), leading applied research in seaweed and algae for sustainable product development. He holds a PhD and BSc (Hons) from UNSW and a Graduate Certificate in Tertiary Education Management from the University of Melbourne. His work focuses on seaweed aquaculture innovations, including waste-to-resource biotechnology, functional foods, and environmental remediation. He leads international projects funded by organizations like ACIAR, CSIRO, and Advance Queensland. Research interests include seaweed-based solutions for livestock health, wastewater treatment, and sustainable aquaculture expansion near the Great Barrier Reef. He has pioneered commercial land-based seaweed farming and developed intellectual property in this field. Awards include the 2015 UNAA World Environment Day Award for Sustainable Water Management and the 2015 Queensland Water Innovation Forum Best Paper. He serves on the Asian Fisheries Society Council and Fiji’s National Seaweed Taskforce. Key publications span seaweed cultivation methods, marine genomics, and socio-economic impacts of aquaculture in the Pacific. Grants total over A$3.7 million for projects like diversifying Pacific Island seaweed industries and improving Indonesian seaweed production.

Rudolf Amannمشاهده پروفایل

استاد

• Microbial ecology
• Marine carbon cycle
• Phytoplankton-bacterioplankton interactions
• +۲ مورد دیگر

Prof. Dr. Rudolf Amann serves as Managing Director at the Max Planck Institute for Marine Microbiology in Bremen, Germany, and leads the Department of Molecular Ecology. His work pioneers molecular methods for studying marine microorganisms, with a focus on fluorescence in situ hybridization (FISH) to identify and quantify microbial cells. Managing Director, Max Planck Institute for Marine Microbiology (since 2018) Department Head, Molecular Ecology Research Center, Bremen, Germany Research Interests: Marine microbial diversity and ecology Carbon cycle dynamics in coastal and deep-sea environments Phytoplankton-bacterioplankton interactions Microbial taxonomy and phylogenetics Single-cell identification techniques (FISH, CARD-FISH) Integration of metagenomics and proteomics Publication Trends: Recent work focuses on microbial interactions in extreme environments (hydrothermal vents, Arctic waters), carbohydrate cycling in oceanic systems, and ecological differentiation of bacterial populations through advanced imaging and omics technologies. Contact: ramann@mpi-bremen.de

Brian Ingallsمشاهده پروفایل

استاد

• Systems Biology
• Synthetic Biology
• Mathematical Modeling
• +۳ مورد دیگر

Brian Ingalls is a Professor in the Department of Applied Mathematics and cross-appointed to Biology at the University of Waterloo. His research applies mathematical and control-theoretic approaches to biological systems, including genetic regulatory networks, microbial communities, and cellular metabolism. Institutional Affiliation: Faculty of Mathematics, University of Waterloo Contact: bingalls@uwaterloo.ca His work focuses on systems biology and synthetic biology , particularly sensitivity analysis of biochemical networks, optimal experimental design, and mathematical modeling of cellular processes. Research funding comes from NSERC and CIHR . Notable contributions include the textbook Mathematical Modeling in Systems Biology (MIT Press, 2013) and the Ingalls Quantitative Cell Biology Lab , which investigates intracellular and intercellular network dynamics through computational and experimental methods. Key Collaborations: iGEM Waterloo, Chemical Engineering, and international synthetic biology networks Advising: Mentored 15+ graduate students and postdocs across applied math, biology, and engineering fields

Jingwei Chengمشاهده پروفایل

استادیار

• Virology
• Cancer Biology
• Epigenetics
• +۷ مورد دیگر

Jingwei Cheng is an Assistant Professor in the Department of Molecular, Cellular, and Biomedical Sciences at the University of New Hampshire's College of Life Sciences and Agriculture. His research focuses on understanding the molecular mechanisms of DNA tumor viruses, particularly polyomaviruses, and their roles in cancer development. Specifically, his work investigates how Merkel cell polyomavirus (MCV) contributes to Merkel cell carcinoma (MCC) through interactions with tumor suppressors like p53 and RB, and the epigenetic regulation of transcriptional complexes. Cheng completed his B.S. in Biotechnology at Peking University and earned his Ph.D. in Biochemistry from the University of Illinois at Urbana-Champaign. His lab explores viral oncogenesis, MYC-driven cancers, and the interplay between transcriptional activation (via the SLaP complex) and repression (via PRC1.6) in neuroendocrine tumors. He also studies RNA methylation and splicing regulation in cancer cells with MYC overexpression. Cheng's research has identified druggable targets such as PRMT5 and the Tip60-p400 complex, aiming to develop therapies targeting MYC-driven cancers. His work bridges virology and cancer biology, with implications for neuroendocrine tumors like MCC and small cell lung cancer. He teaches courses on virology and cancer biochemistry and mentors students in molecular oncology research. His recent publications focus on viral mechanisms of immune evasion, molecular markers in MCC subtypes, and the therapeutic potential of targeting viral and epigenetic pathways. Cheng collaborates on genome-scale CRISPR screens and omics technologies to uncover cancer dependencies.