Find Academic Supervisors

Kristoffer Vitting-SeerupView profile

Associate Professor

• Bioinformatics
• Computational Biology
• Transcriptomics
• +5 more

Kristoffer Vitting-Seerup is an Associate Professor at the Department of Health Technology , Technical University of Denmark, specializing in Bioinformatics and Isoform Analysis . His research focuses on leveraging RNA sequencing, alternative splicing, and protein domain variants to advance cancer genomics and neuro-oncology. Current academic rank: Associate Professor Key collaborations: DTU, University of Copenhagen, international cancer research teams Supervisory role: 5 PhD students in projects spanning machine learning for single-cell sequencing and isoform-level systems biology His work demonstrates strong emphasis on transcriptomics in glioblastoma, with recent publications analyzing tumor infiltration, neurodevelopmental pathways, and therapy resistance mechanisms. Articles reveal expertise in alternative splicing's role in biological signaling, protein domain functional diversity, and genomic stability in cancer stem cells. Research tools developed include satuRn for transcript usage analysis and IsoformSwitchAnalyzeR for splicing variant characterization. Current projects aim to improve clinical diagnostics through machine learning frameworks and enhance understanding of isoform-level biology in diseases. Advising: Rasmussen, M. N. (PhD Student, 2025-2028) Zhen, Z. T. (PhD Student, 2024-2027) Hsieh, C.-Y. (PhD Student, 2024-2027) Kanakoglou, D. S. (PhD Student, 2023-2026) Dam, S. H. (PhD Student, 2021-2025)

Susanne SchlisioView profile

Senior Lecturer

• Oxygen Sensing
• Cancer Biology
• Neuroblastoma
• +5 more

Susanne Schlisio is a Senior Lecturer (Docent) at the Department of Oncology-Pathology, Karolinska Institutet , where she has been faculty since 2017 and Senior Lecturer since 2023. Her research focuses on oxygen-sensing pathways in cancer, particularly neuroblastoma and pheochromocytoma of the sympathoadrenal lineage, intratumor heterogeneity, and mitochondrial metabolism. Education: PhD in Cancer Research (2002, Duke University); Postdoctoral Researcher (2008, Dana-Farber Cancer Institute/Harvard Medical School). Research Highlights: She investigates how oxygen deprivation (hypoxia) drives cancer via altered oxygen-sensing mechanisms, utilizing single-nuclei transcriptomics, spatial sequencing, and novel mouse models to dissect tumor heterogeneity and identify differentiation strategies for therapy. Her work links hypoxia to mitochondrial dysfunction in VHL syndrome and defines cellular identities correlating with neuroblastoma clinical outcomes. Awards and Grants: Recipient of the ERC Synergy Grant (2019) , senior funding from the Swedish Cancer Foundation (2017), Ludwig Cancer Institute (2008), and multiple postdoctoral fellowships. Her lab collaborates with SciLifeLab and Mats Nilson’s group for spatial transcriptomics. Scientific Impact: Work on oxygen-sensing pathways in Kaelin’s lab contributed to the Nobel Prize in Physiology or Medicine .

• Statistical Bioinformatics
• Computational Biology
• Spatial Transcriptomics
• +4 more

Dr. Shila Ghazanfar is an Australian Research Council DECRA Fellow at the University of Sydney, Faculty of Science. She is an expert in statistical and computational analysis of spatial transcriptomics and single-cell RNA-seq data, with a focus on developing bioinformatic approaches for integrating complex biological datasets across various omics modalities. Her educational background includes: Undergraduate studies in statistics and statistical bioinformatics at The University of Sydney PhD in statistics and statistical bioinformatics at The University of Sydney Royal Society Newton International Fellowship at The University of Cambridge under Dr. John Marioni in computational biology Dr. Ghazanfar's research interests center on developing statistical bioinformatic and biomedical data science approaches for meaningful integration of complex and high-dimensional biological datasets. Her multidisciplinary expertise spans statistics, statistical bioinformatics, and computational biology, enabling her to devise strategies to jointly model processes generating diverse data sources. Her work aligns with the University of Sydney Faculty of Science Research Strengths in Complex Systems, Precision and Digital Health, and Data and Decisions. Analysis of her recent publications (2021-2025) reveals strong focus areas including spatial transcriptomics infrastructure development, single-cell data integration methodologies, and applications in cancer research and cardiovascular biology. Key trends show progression from foundational method development to increasingly sophisticated multi-modal integration approaches, with significant emphasis on creating open-source computational tools for the research community. Her scientific recognition includes: Australian Research Council DECRA Fellowship Royal Society Newton International Fellowship Dr. Ghazanfar actively mentors research students, including Angel GUAN working on melanoma immunotherapy research. Her grant portfolio demonstrates substantial research support: 2023: Statistical Bioinformatics for Single Cell, Spatial and Multiomic Biotechnologies (Faculty of Science) 2022: Defining spatiotemporal mechanisms for peripheral nerve regeneration (Partnership Collaboration Award) 2022: Multiscale data integration for single cell spatial genomics (Chan Zuckerberg Initiative) Australian Research Council DECRA for statistical approaches in spatial genomics As a member of the Charles Perkins Centre, Dr. Ghazanfar participates in interdisciplinary research addressing complex health challenges through computational biology approaches, with collaborations spanning multiple domains from basic science to clinical applications.

Wesley TanseyView profile

Assistant Professor

• Statistical Machine Learning
• Computational Oncology
• Bayesian Statistics
• +3 more

Wesley Tansey serves as Assistant Professor in the Computational Oncology group within the Department of Epidemiology and Biostatistics at Memorial Sloan Kettering Cancer Center (MSKCC). His research bridges statistical machine learning with cancer biology, focusing on developing novel computational frameworks for oncology applications. Dr. Tansey's research program centers on Bayesian statistical methods for biological data analysis, with particular emphasis on spatial transcriptomics (evidenced by his BayesTME framework), drug response modeling , and multi-omics integration . His lab develops scalable algorithms for high-dimensional biological data, including UnitedMet for metabolite imputation and MultiTME for spatial profiling analysis. Current projects address combinatorial drug screening optimization, tumor microenvironment characterization, and predictive oncology platforms for rare cancers. His recent publications (2023-2025) demonstrate strong focus areas: Bayesian active learning for drug screening (6+ publications) Spatial biology methods (BayesTME, MultiTME) Metabolomics-transcriptomics integration (UnitedMet) Causal inference in biological systems Scientific recognition includes serving as Area Chair for AISTATS 2022 and frequent invited talks at major conferences including SIAM's Mathematics of Data Science meeting. Dr. Tansey actively mentors lab members including Sophie Jaro (Spotlight presenter at ICML Workshop), Haoran Zhang (contributed talk presenter), Christopher Tosh (Associate Research Scientist), and Jeff Quinn (Bioinformatics Software Engineer). His lab receives research funding supporting development of computational oncology platforms with clinical translation potential. The VIVO Lab maintains active GitHub repositories for core methodologies including BayesTME, reflecting strong software engineering practices in computational biology.

Luan D. VuView profile

Assistant Professor

• Viral Immunopathogenesis
• Respiratory Immunology
• Early-Life Immunity
• +13 more

Luan D. Vu, Ph.D., is an Assistant Professor in the Department of Molecular Microbiology and Immunology at the University of Texas at San Antonio (UTSA), within the College of Sciences. His research focuses on viral immunopathogenesis, particularly how early-life viral infections such as RSV and SARS-CoV-2 impact long-term respiratory immunity in infants and pregnant women. Dr. Vu earned his Ph.D. in Medical Sciences from the University of Sydney, with a specialization in viral immunopathogenesis. His educational journey was supported by prestigious scholarships including the Australian Awards Scholarship, Japanese MEXT Scholarship, and JSPS Fellowships. His research interests center on: Early-life immune development and long-term consequences of viral infection Maternal-fetal immunity during respiratory infections Epigenetic reprogramming of innate immune cells (e.g., ILC2s) Trained immunity in infant immune responses Transplacental antibody transfer and environmental impacts (e.g., PM2.5) Development of novel diagnostics for respiratory viruses Dr. Vu's recent publications reveal a strong trend in understanding immune mechanisms in RSV and COVID-19, utilizing multi-omics, machine learning, and advanced imaging. His work bridges basic science with clinical translation, focusing on biomarker discovery, disease severity prediction, and therapeutic development. Key themes include the role of IL-1β, IL-33, and ST2 signaling in immunopathology, and the application of biosensors for rapid antigen detection. Honors and awards include: Parker B. Francis Fellowship in Pulmonary Research (2024–2027) Leveraging Innovation for Technology Transfer (LIFT2) Grant Australian Awards Scholarship Young Investigator Award from the International Network of Pasteur Institutions Recognition as a Notable Young Investigator by NIH Multiple journal highlights in AJRCCM and Experimental Biology and Medicine Dr. Vu actively mentors the next generation of scientists. He advises graduate students and postdoctoral fellows, fostering a collaborative lab environment focused on discovery and innovation. His lab has received multi-institutional collaborative grants, including support from LSU and UTSA, and he has been involved in technology transfer initiatives. He leads research projects on trained immunity, nanobody development, and organoid models of human nasal epithelium. His laboratory is equipped with state-of-the-art tools including the Cytek Aurora spectral flow cytometer, 10x Genomics Single-Cell System, Element Biosciences AVITI sequencer, and Nanostring Digital Spatial Profiler, enabling high-resolution immune profiling and spatial transcriptomics.

Richard S SmithView profile

Assistant Professor

• Neuroscience
• Developmental Neurobiology
• Ion Channel Research
• +5 more

Richard S Smith is an Assistant Professor in the Department of Pharmacology at Northwestern University's Feinberg School of Medicine, with secondary appointments in Pediatrics. His research integrates neurobiology, genetics, and translational medicine to investigate prenatal brain development and ion channel diseases. Education: PhD: Cotutelle Sorbonne University & University of Maryland (2015) Postdoctoral Fellow: Harvard Medical School / Boston Children's Hospital / Howard Hughes Medical Institute (2021) Faculty Instructor: Harvard Medical School-Dept of Pediatrics (2022) Dr. Smith's research focuses on prenatal channelopathies —developmental ion channel diseases originating during gestation. His lab investigates bioelectricity in brain development using innovative models including gyrencephalic ferrets (to study cortical folding unattainable in lissencephalic mice) and human iPSC-derived neuronal systems. Key projects examine ion channel diseases affecting brain development, bioelectricity in human cortical evolution, and high-throughput screening platforms for neuronal disease modeling. His work demonstrates how ion channels like ATP1A3, SCN3A, and GRIN variants regulate cortical formation and contribute to malformations. Analysis of his publication record reveals strong emphasis on translational neurogenetics , with recent work connecting rare genetic variants to brain malformations (JAMA Neurology 2023) and developing gene therapy approaches for potassium channel disorders (BioRxiv 2024). His research bridges molecular mechanisms with clinical neurology, particularly in pediatric channelopathies and neurodevelopmental disorders. Research Leadership: Director of Smith Lab (www.rsmithlab.com) Member of Center for Autism and Neurodevelopment Member of Center for Genetic Medicine Member of Northwestern University Clinical and Translational Sciences Institute (NUCATS) Member of Stephen M. Stahl Center for Psychiatric Neuroscience Dr. Smith employs cutting-edge approaches including single-cell technologies, ferret models of gyrification, and iPSC-based drug screening. His lab trains scientists in both advanced research techniques and addressing systemic challenges in scientific communities. While no formal awards are listed in available materials, his work has been published in high-impact journals including Nature, Neuron, and JAMA Neurology.

Akdes Serin HarmanciView profile

Assistant Professor

• Neurosurgery
• Computational Biology
• Genomics
• +5 more

Akdes Serin Harmanci is an Assistant Professor of Neurosurgery at Baylor College of Medicine, with prior roles as an Associate Research Scientist and Postdoctoral Researcher at Yale University and as an Assistant Professor at the School of Biomedical Informatics, University of Texas Health Science Center. She holds a PhD in Computational Biology from the Max Planck Institute for Molecular Genetics and a BS in Computer Science and Engineering from Sabanci University. Primary Affiliation: Assistant Professor, Department of Neurosurgery, Baylor College of Medicine Secondary Affiliations: Associate Research Scientist, Neurosurgery, Yale University; Assistant Professor, School of Biomedical Informatics, University of Texas Her research focuses on neurosurgery and computational biology, particularly the genomic and transcriptomic analysis of brain tumors. She employs advanced techniques such as single-cell RNA sequencing, multiomic profiling, and molecular diagnostics to study meningioma and glioma progression, radiation resistance, and immune interactions. Her work bridges clinical neurosurgery with computational methods to identify novel therapeutic targets and prognostic markers. The 15 most recent publications highlight her contributions to understanding: AAV vector transduction mechanisms in brain tissue, NF2-hypoxia synergy in meningioma radioresistance, CD83's immunomodulatory role in glioma, and the impact of genetic variants on tumor-immune dynamics. These studies span neurogenetics, tumor microenvironment analysis, and translational applications of genomic data.

Scott Nicholas FurlanView profile

Assistant Professor

• Graft-versus-host disease
• Hematopoietic cell transplantation
• T-cell therapy
• +3 more

Dr. Scott Nicholas Furlan is an Assistant Professor in the Translational Science and Therapeutics Division at Fred Hutchinson Cancer Center, with a secondary appointment as Assistant Professor in the Department of Pediatrics at the University of Washington School of Medicine. He is a member of the Immunotherapy Integrated Research Center (IIRC) and Translational Data Science Integrated Research Center (TDS IRC) at Fred Hutch. His clinical expertise includes hematopoietic cell transplantation, pediatric oncology, and acute myelogenous leukemia. Education: Post-doctoral Fellowship in Transplant Immunology, Seattle Children’s Research Institute (2012-2015) Fellowship in Pediatric Hematology Oncology, UT Southwestern Medical Center (2009-2012) Residency in Pediatrics, UT Southwestern Medical Center (2006-2009) MD, Keck School of Medicine at USC (2002-2006) Bachelor of Arts, Macalester College (1994-1998) Research Focus: Dr. Furlan employs single-cell genomics to study immune reconstitution after hematopoietic cell transplantation and cellular immunotherapies for pediatric cancers. His lab investigates graft-versus-host disease mechanisms, T-cell dysfunction, leukemia biology, and tumor microenvironments, with emphasis on translational applications for improving clinical outcomes. Publication Trends: Recent work (2023-2025) focuses on immunogenomics of transplantation, cellular therapies, and tumor biology. Key themes include T-cell exhaustion, microbiota-immune interactions, epigenetic profiling, and novel immunotherapy targets. Studies frequently integrate computational biology with translational models. Clinical & Lab Leadership: Dr. Furlan leads the Furlan Lab at Fred Hutch, which develops computational tools for single-cell analysis and conducts research in pediatric malignancies. He oversees clinical trials investigating tumor heterogeneity in leukemia and Ewing sarcoma.

Russell FinleyView profile

Professor

• Regulatory networks
• Cell cycle regulation
• Drosophila development
• +3 more

Russell Finley is a Professor at Wayne State University, with joint appointments in the Departments of Molecular Medicine and Genetics and Biochemistry, Microbiology, and Immunology. He serves as Division Director for Education and Graduate Officer in CMMG and is a member of the Karmanos Cancer Institute. His research focuses on regulatory networks controlling cell proliferation, using high-throughput technologies like yeast two-hybrid systems and RNAi screens. PhD in Molecular Biology from SUNY Upstate Medical University (1990) Postdoctoral training at Harvard Medical School and Massachusetts General Hospital (1990-1995) Research keywords include protein interaction networks, Drosophila development, cancer biology, and systems biology. His 2024-2010 publications highlight work on cell cycle regulators, pathogen interactions, and bioinformatics methodologies. He teaches advanced courses in cancer biology, molecular genetics, and systems biology.

Francesca LucaView profile

Assistant Professor

• Evolutionary Genetics
• Functional Genomics
• Human Evolution
• +5 more

Francesca Luca is an Assistant Professor at Wayne State University, jointly appointed in the Center for Molecular Medicine and Genetics and the Department of Obstetrics and Gynecology. Her research integrates evolutionary and functional genomics to explore genetic and molecular mechanisms underlying inter-individual and inter-population differences in complex traits. University : Wayne State University Academic Rank : Assistant Professor Email : fluca@wayne.edu Research Interests : Dr. Luca investigates how phenotypic differences evolved as humans adapted to changing environments, focusing on gene-environment interactions, nuclear receptor pathways (e.g., estrogen receptors), and health disparities. Her work employs functional genomics techniques like ChIP-seq and RNA-seq on diverse human populations. Publications : Recent studies include analyses of gene-environment interactions in SARS-CoV-2 responses (2023), single-cell placental transcription in preterm birth (2019), and evolutionary adaptations to dietary shifts (2010). She also explores host-microbiome interactions (2018) and genetic variations in NAT2 and SGK1 genes. Collaborative Work : Dr. Luca's lab collaborates on projects spanning pharmacogenomics, maternal-fetal medicine, and systems-level genetic characterization of health disparities. Her methodologies bridge evolutionary theory with clinical applications in obstetrics and gynecology.

Aivi T. NguyenView profile

Assistant Clinical Professor

• Neurodegeneration
• Alzheimer's Disease
• Microglia
• +3 more

Aivi T. Nguyen, M.D., serves as a Clinical Assistant Professor in the Department of Laboratory Medicine and Pathology at Mayo Clinic Alix School of Medicine. As a board-certified neuropathologist and translational researcher, she spearheads investigations into neuroinflammation mechanisms in neurodegenerative diseases through the Alzheimer's Disease Research Center (ADRC) and Mayo Clinic Study of Aging (MCSA), integrating neuropathology with neuroimaging and biomarker analysis. Her educational trajectory includes: Post Doctoral Fellowship, Translational Neuropathology Research Laboratory (University of Pennsylvania, 2020) Neuropathology Fellowship (Hospital of the University of Pennsylvania, 2018) Anatomic Pathology Residency (Hospital of the University of Pennsylvania, 2016) M.D. (Jefferson Medical College, 2014) Research Fellowship (NIH Medical Research Scholars Program, 2013) B.S. in Cell and Molecular Biology, Genetics (University of Delaware, 2009) Dr. Nguyen's research centers on microglial heterogeneity in Alzheimer's disease, employing single-nuclei RNA sequencing and immunohistochemical validation to characterize distinct microglial subpopulations. She investigates how genetic risk variants (APOE E4, TREM2 R47H) modulate microglial responses to proteinopathies and explores microglia's role in cognitive resilience despite pathological burden. Her work bridges molecular mechanisms with clinical manifestations through multidisciplinary approaches. Analysis of her 2020-2025 publications reveals consistent focus on microglial biology across neurodegenerative conditions, with increasing emphasis on genetic determinants and translational applications. Recent work expands into TDP-43 proteinopathies and cerebral amyloid angiopathy while maintaining core investigation of microglial dynamics in Alzheimer's disease. Her accolades include: Two Diagnostic Slide Session Awards for Best Neurodegenerative Case (American Association of Neuropathology, 2021 & 2018) Neurodegenerative Disease Scholars Program Award and Robert Terry Award Honorable Mention (2020) Penn Cares Grant for 'Woodland Writers' Project (2015) Harold L. Stewart Prize in Pathology (2014) Dr. Nguyen actively shapes neuropathology standards through committee roles including the American Board of Pathology Test Development Advisory Committee and American Association of Neuropathologists Education Committee. Her research is supported by institutional resources within Mayo Clinic's ADRC infrastructure and collaborative multi-institutional grants. She operates within Mayo Clinic's integrated research ecosystem, contributing neuropathological expertise to the ADRC and MCSA teams while participating in national consortia studying neurodegenerative mechanisms. Her laboratory work focuses on human tissue analysis with emphasis on microglial transcriptomics and spatial pathology mapping.

Peter W. ReddienView profile

Professor

• Regeneration
• Stem Cell Biology
• Developmental Biology
• +3 more

Peter W. Reddien is Professor of Biology at MIT, Member of the Whitehead Institute for Biomedical Research, and Howard Hughes Medical Institute (HHMI) Investigator. He serves as Associate Head of MIT's Department of Biology and leads regenerative biology research using planarian flatworms as a model system. Education: Undergraduate: Molecular Biology, University of Texas at Austin PhD: Biology, MIT (Advisor: Robert Horvitz) Postdoctoral: Stowers Institute (with Alejandro Sanchez Alvarado) Reddien's research focuses on the cellular and molecular mechanisms of regeneration. His lab discovered that planarians utilize pluripotent adult stem cells called neoblasts for tissue renewal and regeneration. They identified muscle tissue as the primary source of positional information during regeneration, mediated by position control genes including Wnt signaling components. This work revealed how coordinate systems guide stem cell behavior to rebuild correct anatomical structures. His publication trends demonstrate interdisciplinary approaches combining genomics, molecular biology, and imaging to map cell types and signaling pathways in regeneration. Recent work emphasizes single-cell transcriptomics and the role of tissue architecture in instructing regenerative outcomes across developmental biology and regenerative medicine fields. Awards: Helen Hay Whitney Foundation Fellow (2003) Rita Allen Scholar Award (2006) Searle Scholar Award (2006) Smith Family Award for Excellence in Biomedical Research (2006) Keck Distinguished Young Scholar (2008) HHMI Early Career Scientist (2010) Mossman Developmental Biology Award (2012) HHMI Investigator (2013) As an HHMI Investigator, Reddien directs substantial research funding supporting his lab's work on stem cell regulation and positional information. He mentors graduate students and postdoctoral fellows at MIT, with research implications for regenerative medicine and aging. Current projects explore Delta-Notch signaling in nervous system regeneration and molecular mechanisms of tissue patterning. The Reddien Lab operates at the Whitehead Institute in Cambridge, employing genomic tools and live imaging to study planarian regeneration. The team collaborates globally to investigate conserved regenerative mechanisms, with recent work featured in 2024-2025 news coverage on neoblast function and neural regeneration.

Mekayla A StorerView profile

Researcher

• Developmental Biology
• Stem Cell Biology
• Regenerative Medicine
• +4 more

Dr. Mekayla A Storer is a Group Leader at the Wellcome-MRC Cambridge Stem Cell Institute and an affiliate of the University of Cambridge's Physiology, Development and Neuroscience department. Her research focuses on the cellular and molecular mechanisms of blastema formation during mammalian digit tip regeneration, combining single-cell transcriptomics , genetic lineage tracing , and in vitro blastema cultures . Education : PhD from Centre for Genomic Regulation (Barcelona, Spain), supervised by Dr. Bill Keyes Postdoctoral Training : Drs. Freda Miller and David Kaplan at Hospital for Sick Children (Toronto, Canada) Her work explores how stem cells and senescence contribute to regeneration, with implications for therapies targeting broader tissue repair. Key publications include studies on blastema dynamics (2020), digit regeneration (2022), and a human embryonic limb cell atlas (2023). Laboratory Members : PhD Student: Jia Hua Wang Research Associates: Camille Dumas, Kentaro Hirose, Joseph Wong Biomedical Research Technician: Evelina Sliauteryte Postgraduate Student: Lauren Connolly

• Epidemiology
• Breast Cancer Risk Prediction
• Epigenetics
• +3 more

Carmen Petitjean is a PhD Research Student affiliated with the Department of Public Health and Primary Care at the University of Cambridge , and a member of the Cardiovascular Epidemiology Unit (CEU) . Her work focuses on epidemiological modeling and data analysis. Education BSc in Medical Biosciences, Imperial College London MPhil in Epidemiology, University of Cambridge Research Focus Validation of the BOADICEA breast cancer risk prediction model Epigenetic and single-cell transcriptomic data analysis Integration of genomic data for cardiovascular disease studies Affiliations Cardiovascular Epidemiology Unit (CEU) Primary Care Unit (PCU)

Sébastien TremblayView profile

Assistant Professor

• Neuroscience
• Psychiatry
• Neurotechnology
• +5 more

Sébastien Tremblay is an Assistant Professor in the Department of Psychiatry and Neuroscience at Université Laval’s Faculty of Medicine. He is also a researcher at CERVO, focusing on integrative neuroscience and experimental therapies. His work bridges psychology, engineering, gene therapy, and neurosurgery, with a strong emphasis on non-human primate models and neurotechnology development. MSc in Psychology, Université de Montréal PhD in Neuroscience, McGill University Postdoctoral Fellow, Montreal Neurological Institute Postdoctoral Fellow, Perelman School of Medicine, University of Pennsylvania Dr. Tremblay’s research centers on neurotechnology development for modulating brain activity , particularly in treating mental disorders. His team specializes in optogenetics , chemogenetics , wireless neurophysiology , and MRI-guided neurosurgery , prioritizing translational applications from primate models to human treatments. Key interests include understanding social behavior neural signatures and developing tools for clinicians. His publications highlight trends in primate neuroscience , neurotechnology , opioidergic systems , and traumatic brain injury . Recent work includes single-cell genomics, viral vector optimization, and social behavior neural decoding. 2023 Brain Star Award, Canadian Association for Neuroscience 2022 University of Pennsylvania’s Year of Neuromodulation Speaker 2020 Human Frontier Science Program Fellow 2019 Banting Fellow, CIHR 2018 MIT Hacking Medicine Health Innovation Prize ... + 20+ more awards Dr. Tremblay’s grants include Banting Fellowships , NSERC Scholarships , and institutional awards. His lab collaborates with institutions like the Allen Institute for Brain Science and MIT Hacking Medicine . The Translational Neurosurgery Laboratory at CERVO develops neurotechnologies for brain modulation. It focuses on non-human primate research , integrating psychology , engineering , and neurosurgery to create clinical tools for brain disease treatment.