جست‌وجوی استاد و پژوهشگر

• Veterinary Parasitology
• Anthelmintic Resistance
• Parasite Genomics
• +۳ مورد دیگر

Jeba R J Jesudoss Chelladurai is an Assistant Professor at Auburn University 's College of Veterinary Medicine, Department of Pathobiology. She previously held a similar position at Kansas State University and will complete bioinformatics training at the University of Birmingham in 2025. Education: BVSc & AH, Madras Veterinary College, India (2011) MS in Microbiology, North Dakota State University (2014) PhD in Veterinary Pathology (Parasitology), Iowa State University (2019) Research Interests: Dr. Jesudoss Chelladurai specializes in anthelmintic resistance across companion animal and ruminant helminths , utilizing NGS-based metabarcoding for parasite detection. Her work includes parasite genomics , diagnostic parasitology , and drug transporter characterization in zoonotic nematodes. Scientific Contributions: Diplomate, American College of Veterinary Microbiologists (Parasitology & Immunology) Principal investigator in 15+ peer-reviewed studies on parasitic drug resistance and genomics Key publications on Toxocara , Dipylidium , and Dirofilaria species Publication Trends: Her recent work focuses on genomic analysis of zoonotic parasites, drug resistance mechanisms, and vector control strategies using molecular tools like RNA-seq and mitochondrial genome sequencing. Collaboration: Active in multi-institutional collaborations with researchers from Iowa State University, Kansas State University, and Czech Republic institutions.

Jing Wangمشاهده پروفایل

عضو هیئت علمی

• Bioinformatics
• Computational Biology
• Cancer Genomics
• +۳ مورد دیگر

Jing Wang is a Research Assistant Professor at the Department of Biostatistics , Vanderbilt University , with a focus on integrating bioinformatics and biostatistical methods to study cancer genomics, RNA biology, and chromatin dynamics. Education: PhD in Bioinformatics from Shanghai Jiao Tong University Research interests center on: Transcriptional regulation in oncogenic pathways Non-coding RNA interactions in cancer metastasis Epigenetic mechanisms in tumor development Computational modeling of gene expression programs RNA sequencing data analysis Chromatin remodeling in SMARCB1-deficient cancers Recent work emphasizes: WDR5 inhibition strategies for hematologic malignancies MYC-driven gene regulatory networks Super-enhancer dynamics in rhabdoid tumors miRNA and lncRNA roles in colorectal cancer progression Adapter detection tools for small RNA sequencing Evolution of transcriptional programs under epigenetic regulation

Yue Wangمشاهده پروفایل

استاد

• Machine learning
• Pattern recognition
• Signal and image processing
• +۵ مورد دیگر

Yue Wang serves as the Grant A. Dove Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech, where he leads pioneering research at the intersection of computational theory and biomedical applications. His work focuses on developing advanced signal processing and machine learning frameworks for genomic analytics, tissue characterization, and medical imaging, driving innovations in precision medicine and diagnostic methodologies. His academic foundation includes: PhD in Electrical Engineering from the University of Maryland (1995) MS in Electrical Engineering from Shanghai Jiaotong University (1987) BS in Electrical Engineering from Shanghai Jiaotong University (1984) Wang's research program centers on pattern recognition, stochastic signal systems, and image processing with deep applications in computational bioinformatics and systems biology. He develops novel algorithms for analyzing complex biological data—from single-cell genomics to radiological images—enabling discoveries in disease mechanisms and therapeutic targeting. His methodologies bridge computational rigor with clinical relevance, particularly in cancer and neurological disorders. Analysis of his recent publications (2022-2025) reveals three dominant trends: 1) Advancement of differential dependency networks for detecting biological network rewiring in disease states; 2) Development of unsupervised deconvolution techniques for cell-type resolution in bulk tissues; and 3) Integration of radiomics with genomics for tumor characterization. These efforts increasingly leverage deep learning and single-cell technologies to address heterogeneity in biological systems. His scientific recognition includes: IEEE Fellow (2016) for contributions to genomic signal analytics and image-based tissue characterization While specific grant details are not provided, Wang's extensive open-source software contributions—including CAM for cell deconvolution, DDN for network analysis, and KDDN for dependency networks—demonstrate sustained research leadership. His mentorship likely involves graduate students in computational biology projects, though formal advisee lists are not documented in available materials. No laboratory or team structure is explicitly described, but his computational focus suggests collaboration with biomedical researchers across Virginia Tech's campus and medical institutions to translate algorithms into clinical tools.

Laura Corley Lavineمشاهده پروفایل

استاد

• Phenotypic Plasticity in Insects
• Evolutionary Biology
• Insect Physiology
• +۴ مورد دیگر

Laura Corley Lavine serves as Professor and Chair of the Department of Entomology within Washington State University's College of Agricultural, Human, and Natural Resource Sciences. Her leadership extends across academic administration, research innovation, and community engagement in entomological sciences. Her educational background includes a Ph.D. in Entomology from the University of Kentucky (1999), M.S. in Zoology from Clemson University (1995), and B.S. in Biology from Lander University (1992). Postdoctoral training was completed at the University of Wisconsin-Madison. Lavine's research investigates the development and evolution of adaptive phenotypic plasticity in insects , with emphasis on wing polyphenism, beetle horn evolution, and acaricide resistance mechanisms. Her work bridges evolutionary biology, genomics, and agricultural entomology, revealing how environmental cues trigger alternative developmental pathways. Current projects integrate molecular techniques with ecological field studies to address pest management challenges. Analysis of her publication trends shows a strategic evolution from fundamental studies of phenotypic plasticity toward applied research on pesticide resistance and leadership development in STEM. Recent work increasingly incorporates genomic tools while maintaining focus on evolutionary principles. 2016 Samuel H. Smith Leadership Award (WSU Association for Faculty Women) NSF ADVANCE Partnership project leadership External Mentor Program development for women in STEM Lavine actively mentors graduate students and postdocs while leading outreach initiatives including the Upward Bound science programs, Insect Expo events, and K-12 educational collaborations. Her lab operates as a collaborative hub with Mark Lavine managing daily operations and partnerships with researchers like Doug Walsh. Current projects focus on genomic mechanisms of resistance in Tetranychus urticae and developmental pathways in beetle horn formation.

Bart Deplanckeمشاهده پروفایل

استاد

• Systems Biology
• Genomics
• Computational Biology
• +۶ مورد دیگر

Bart Deplancke is a Full Professor at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Institute of Bioengineering (IBI-SV) and the School of Life Sciences (SV). He leads the Laboratory of Systems Biology and Genetics (LSBG), focusing on genome organization, regulation, and variation through three major research pillars: Adipo (adipose biology), Geno (genetic variation), and Techno (technology development). His work integrates computational, genomic, and experimental approaches to study stem cell differentiation, regulatory networks, and metabolic processes. He teaches courses in Genetics and Genomics and Single Cell Biology. Research interests include mesenchymal stromal cell heterogeneity, transcription factor function, and novel single-cell technologies like Live-seq and BRB-seq. Notable achievements include the discovery of adipogenesis-regulator cells (Areg) and the development of the Fly Cell Atlas. His lab has received prestigious awards, including the EMBO Membership (2023), Leenaards Science Prize (2022), and Cloëtta Prize (2021). Awards: EMBO Member, Swiss National Science Foundation Advanced Grant, Leenaards Prize, Cloëtta Prize. Technology Development: Live-seq, BRB-seq, ASAP analysis pipeline, SMiLE-seq. Grants: Supported by Swiss NSF, Innosuisse, Chan Zuckerberg Initiative, EMBO, and others. The lab collaborates on projects like the Fly Cell Atlas and has spun off companies such as Alithea Genomics. Current research explores adipose tissue heterogeneity, circadian regulation, and chromatin dynamics using cutting-edge genomic tools.

Hari Krishna Yalamanchiliمشاهده پروفایل

استادیار

• Computational Biology
• Neurology
• Genomics
• +۳ مورد دیگر

Hari Krishna Yalamanchili is an Assistant Professor in the Department of Pediatrics - Neurology at Baylor College of Medicine, affiliated with the Jan and Dan Duncan Neurological Research Institute and the Children’s Nutrition Research Center. He holds a PhD in Computational Biology (University of Hong Kong), an MS in Bioinformatics (International Institute of Information Technology, Hyderabad), and a BS in Bioinformatics (Jaypee University of Information Technology). His research focuses on integrating computational biology and experimental approaches to decode complex diseases, particularly neurological disorders. Key areas include RNA processing mechanisms (e.g., alternative polyadenylation), multi-omic data integration, and machine learning models. He develops tools like PolyAMiner-Bulk to analyze transcriptomic data and elucidate disease mechanisms. His work spans topics such as RNA homeostasis in neurodegenerative diseases, epigenetic changes in cardiovascular failure, and molecular dynamics in cancer and autoimmune conditions. Publications highlight advancements in alternative polyadenylation dynamics, tau protein isoforms in Alzheimer’s, and computational methods for transcriptome analysis. While no awards are listed, his contributions to translational medicine and bioinformatics are evident in peer-reviewed articles and algorithm development. He collaborates across disciplines to bridge computational and experimental neuroscience.

Lucas Martin Cheadleمشاهده پروفایل

دانشیار

• Neuroimmunology
• Brain Development
• Synapse Plasticity
• +۶ مورد دیگر

Lucas Martin Cheadle is an Associate Professor at Cold Spring Harbor Laboratory (CSHL) and a Howard Hughes Medical Institute Freeman Hrabowski Scholar. His research bridges neuroimmunology and brain development , focusing on how microglia and oligodendrocyte precursor cells (OPCs) interact with neurons to shape neural circuits. Cheadle's work has significant implications for neurodevelopmental disorders (e.g., autism) and neurodegenerative diseases (e.g., Alzheimer's). Education: B.A. and Ph.D. in Neuroscience from Smith College and Yale University, respectively; postdoctoral training at Harvard Medical School Awards: MIND Prize (2025), HHMI Freeman Hrabowski Scholar (2023), Rita Allen Scholar Award (2021), NIH Director’s New Innovator Award (2022) Cheadle employs two-photon microscopy , single-cell genomics , and transgenic mouse models to dissect how environmental cues influence microglial and OPC functions. His recent work explores synapse protection mechanisms in Alzheimer’s disease, proposing novel therapeutic strategies targeting non-neuronal cells . This aligns with his broader vision of integrating immune system dynamics into fundamental neuroscience. Cheadle actively promotes diversity and inclusion in science, both through lab initiatives and collaborations with the Chickasaw Nation.

Wei Yee Weeمشاهده پروفایل

مدرس

• Bioinformatics
• Genomics
• Transcriptomics
• +۴ مورد دیگر

Dr. Wei Yee Wee is a Lecturer at Monash University Malaysia's School of Sciences , with a PhD and BSc in Bioinformatics from the University of Malaya and Multimedia University respectively. His research spans Bioinformatics , Genomics , and Tool Development , focusing on dry-lab methodologies to advance biological understanding without wet-lab experiments. Dr. Wee has contributed to 38 research outputs since 2012 development of bioinformatics tools like PGC and PathoProT 4 active/finished research projects interdisciplinary education initiatives editorial and event-organizing roles His work aligns with the UN Sustainable Development Goal for Education. Research Trends show a strong focus on 2025 : Comparative genomics of invasive pests and soil microbiomes 2024 : Shigella virulence profiles and heat-tolerant rice 2023 : Oral cavity bacterial taxonomy 2022 : Transcriptomic analysis of medicinal plants and pangolin conservation Key techniques include genome assembly, SNP prediction, and pan-genome studies. Scientific Recognition includes 2024 PVC's Award for Excellence in Education 2024 Dean's Award for Innovation in Learning 2022 Bronze Medal (Virtual HITeL Competition) 2022 Gold Medal (Virtual HITeL Competition) 2020 Gold Medal (ITEX Exhibition) As an educator, Dr. Wee teaches BIO1011 Biology 1 , SCI1020 Statistics , and other advanced modules. He serves as Editor-in-Chief for mSystems Journal and organizes bioinformatics workshops like Learnux Board Game and Wellcome Connecting Science: NGS Bioinformatics .

• Metabolomics
• Biochemistry
• Genetics
• +۴ مورد دیگر

Amit Rai is an Assistant Professor affiliated with the Carl R. Woese Institute for Genomic Biology and the Department of Crop Sciences at the University of Illinois at Urbana-Champaign. His research focuses on metabolomics, plant secondary metabolism, and viral genomics. Rai collaborates internationally on projects involving multi-omics integration and plant pathogen discovery. Key research areas include: Decoding specialized metabolite biosynthesis pathways Developing liquid chromatography-mass spectrometry (LC-MS/MS) strategies for metabolic analysis Identifying novel plant viruses through high-throughput sequencing Investigating tissue-specific metabolic regulation in medicinal plants \n Recent work highlights multi-omics approaches to understand metabolic diversity in Magnolia and Aconitum species, along with viral discovery efforts in plant systems. His methodologies emphasize omic integration and advanced sequencing technologies. Rai's research has been published in journals like International Journal of Molecular Sciences and Acta Virologica. He currently holds no listed awards but maintains active collaborations in genomic medicine and plant biology.

Sandra Hellbergمشاهده پروفایل

استادیار

• Immunology
• Neurology
• Multiple Sclerosis
• +۳ مورد دیگر

Sandra Hellberg is an Assistant Professor at Linköping University's Department of Biomedical and Clinical Sciences (BKV), affiliated with the Faculty of Medicine and Health Sciences. Her research focuses on immunological mechanisms in pregnancy, autoimmune diseases (particularly multiple sclerosis), and epigenetic regulation in T-cells. She is a key member of the BKV gender equality initiative, advocating for menstrual health in the workplace and promoting inclusivity. Her research spans multiple sclerosis biomarkers, pregnancy-induced immune changes, and Lyme neuroborreliosis. Notable contributions include identifying 11 proteins predictive of MS disability and studying hormonal impacts on T-cell activation. Publications highlight proteomics, epigenetics, and translational medicine. Her work addresses global gender equality goals (SDG 3 and 5) through workplace initiatives. Collaborations include interdisciplinary teams at LiU and international partners. Current efforts prioritize understanding pregnancy's immunomodulatory effects and translating findings into clinical applications for autoimmune diseases.

• Plant Molecular Biology
• Stress Response
• RNA Biology
• +۳ مورد دیگر

Dr. Waleed Albihlal is a Research Fellow at the University of Surrey's School of Biosciences, holding a PhD, MSc, and BSc. His research bridges molecular plant biology and RNA regulatory mechanisms, with expertise in stress response pathways and gene expression control. Research Focus: His work explores heat shock transcription factors (HSFs) in Arabidopsis under environmental stress, uncovering their roles in drought resistance, pathogen defense, and developmental gene regulation. Recent investigations extend to unconventional RNA-binding proteins and their conserved functions in post-transcriptional control across biological systems. Publication Trends: Albihlal's articles reveal two interconnected themes: 1) Molecular mechanisms of plant stress adaptation through HSF networks, and 2) Evolutionary conservation of non-canonical RNA-protein interactions. His 2018 studies demonstrate advanced genomic techniques like ChIP-seq and RNA-seq to map transcriptional hierarchies.

Mary Dunlopمشاهده پروفایل

استاد

• Synthetic biology
• Microbial systems
• Feedback control
• +۵ مورد دیگر

Mary Dunlop is a Professor and Vice Chair in the Department of Biomedical Engineering at Boston University. Her research focuses on synthetic biology, microbial systems, and optogenetics, with emphasis on single-cell methods and metabolic engineering. She leads the Dunlop Lab, known for integrating deep learning and advanced imaging techniques to study antibiotic resistance and cellular stress responses. Education: PhD in Biomedical Engineering, California Institute of Technology, 2008 M.S., Biomedical Engineering, California Institute of Technology, 2004 B.S.E., Chemical and Biological Engineering, Princeton University, 2002 Her research interests include engineering microbial systems using optogenetic tools and developing predictive models for gene expression dynamics. Recent work highlights applications of deep learning in cell segmentation (Cell-TRACTR), optogenetic control of metabolic pathways, and single-cell analysis of antibiotic resistance mechanisms. Honors and awards include the 2024 Dorf-Ebner Distinguished Faculty Fellowship and the 2023 AIMBE Fellowship. Her grants include NSF and DOE funding for projects on synthetic biology and microbial engineering. Advising and mentoring contributions are recognized through the 2024 Excellence in Mentoring Postdocs Award. She also co-leads educational initiatives like the Cold Spring Harbor Synthetic Biology Summer Course. Labs/Teams: Dunlop Lab (Boston University), affiliated with Synthetic Biology and Tissue Engineering programs.

Philip Spanheimerمشاهده پروفایل

استادیار

• Surgical Oncology
• Breast Cancer
• Sarcoma
• +۴ مورد دیگر

Philip Spanheimer, MD is an Assistant Professor in the Department of Surgery (Surgical Oncology) and holds a secondary appointment in the Department of Genetics at the University of North Carolina School of Medicine. He specializes in surgical management of breast and endocrine cancers, with a focus on translational research linking clinical outcomes to molecular mechanisms. His research explores tumor adaptation to therapies, resistance mechanisms in breast cancer, and the use of patient-derived models (organoids, xenografts) to enhance treatment strategies. Key research areas include kinase signaling pathways in endocrine-resistant breast cancer, cell cycle dynamics, and single-cell genomics for predicting therapy response. His clinical expertise spans complex skin cancers, gastrointestinal malignancies, and high-risk breast cancer patients. Board-certified in General Surgery and Complex Surgical Oncology, he integrates patient-centered care with laboratory investigations to advance cancer treatment paradigms. Spanheimer collaborates across disciplines within the UNC Department of Genetics and Surgical Oncology programs, contributing to over 70 peer-reviewed publications. His work emphasizes training future researchers through clinical and laboratory projects, fostering critical analysis skills in surgical oncology fellows.

• Hematology
• Pharmacogenomics
• Leukemia Therapy
• +۳ مورد دیگر

Houda Alachkar is an Associate Professor of Clinical Pharmacy at the University of Southern California (USC). Her research focuses on understanding molecular mechanisms underlying hematologic malignancies, particularly acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL), with emphasis on drug resistance, immunogenomics, and targeted therapies. She leads the Alachkar Lab , which investigates T-cell receptor (TCR) repertoires, nanoparticle-based treatments, and pharmacogenomic markers of toxicity. Her work spans bench-to-clinic translational research, including developing anti-CD99 and FLT3 bispecific nanoparticles for AML therapy, analyzing epigenetic landscapes in leukemia, and benchmarking HLA typing algorithms. She has authored over 100 peer-reviewed publications, with recent contributions on asparaginase toxicity in Hispanic patients and CD36/APOC2 metabolic pathways in cancer. Key research themes include: Immunopharmacogenomics of T-cell responses Novel drug delivery systems for targeted cancer therapy Genetic and epigenetic markers predicting treatment outcomes Cross-talk between leukemia cells and immune microenvironment Her lab's innovations include pyTCR software for TCR sequencing analysis and preclinical models of inducible gene knockouts. Current efforts prioritize improving therapies for understudied populations and advancing personalized medicine strategies through multi-omics integration.

• Computational Neuroscience
• Mathematical Biology
• Statistics Analysis of Genome-Scale Data
• +۳ مورد دیگر

Daniel A. Tranchina is a Professor of Biology, Mathematics, and Neural Science at New York University (NYU), affiliated with the College of Arts and Science. He holds a Ph.D. in Neurobiology from Rockefeller University (1981) and a B.A. in Chemistry from SUNY Binghamton (1975). His research focuses on computational neuroscience, mathematical biology, and statistical analysis of genome-scale data, with an emphasis on stochastic processes in biological systems. Key topics include neural signal processing in retinal circuits, stochastic gene expression, and high-throughput sequencing analysis. Tranchina's work bridges theoretical and experimental biology, employing population density methods and statistical models to study neural networks and genetic systems. His contributions span neurobiology, systems biology, and biophysics, with applications to vision science and quantitative genomics. He is actively involved in NYU's Biology department and affiliated with the Biophysics and Quantitative Biology research group. His research has led to influential studies on photoreceptor responses, synaptic dynamics, and gene regulatory networks. While no specific scientific awards are listed, his extensive publication record reflects a distinguished career in interdisciplinary biological research.