Sophie completed her undergraduate education at Carleton College in Minnesota, where she majored in math/statistics. She then went on to pursue a PhD in biostatistics at Boston University. Her thesis work focused on the development and evaluation of polygenic scores in multi-ancestry applications. She is excited to continue working on method development to study complex diseases in diverse and underrepresented populations at NYGC.
Minji is an MD-PhD from the South Korea and a awardee of the Paul Janssen Translational Fellowship at Columbia University. She is co-mentored on the clinical side with Dr. John Mann. Her major interest lies on biological underpinnings of psychiatric disorders, especially mood disorders and suicide.
Anne received her Bachelor’s Degree in Chemical Engineering, her Master’s Degree in Biotechnology Engineering and her PhD in Health Sciences from Aarhus University in Denmark. She has been awarded a Lundbeckfonden Fellowship. Anne is co-mentored by Dr. Neville Sanjana (NYGC and NYU). She is interested in using functional genomics to investigate neuropsychiatric diseases, especially Schizophrenia and Bipolar Disorder.
Fion is a second-year PhD student in the Systems Biology track of the Integrated CMBS program at Columbia University. Prior to Columbia, she received my bachelor’s degree from Johns Hopkins University where she majored in Neuroscience and Molecular & Cellular Biology. After graduation, she worked as a lab technician and studied retinal development genetics via single-cell RNA sequencing analysis. She is now interested in using statistical analyses and machine learning to functionally dissect the molecular pathways psychiatric diseases converge on to precipitate diverse but overlapping phenotypes.
Giorgia is a second year PhD Student in the Genetics and Development program at Columbia University. She graduated from Rutgers University with a degree in Molecular Biology and Biochemistry and worked on chromatin epigenetics in olfactory sensory neurons. She is excited to work in the realm of human genetics during her PhD and help elucidate the complexity underlying genetic variation and how that can help us better understand and diagnose disease.
Carina is a second-year PhD student in the Neurobiology and Behavior program at Columbia University. After gaining foundational experience working on systems-related neuroscience projects at the University of Washington and Rutgers University, she is excited to focus on the molecular and genetic methods underlying psychiatric disorders.
Shaked is a post-baccalaureate computational research associate at the Singh Lab. She graduated from Harvard University in May 2023 with a B.A. in Neuroscience, Mind Brain Behavior track. During my undergrad, she researched the effects of mindfulness training on brain mechanisms of fear extinction learning, as a possible intervention for trauma-related disorders. She is excited to explore human genomics in relation to mental illness to help develop effective therapeutic interventions.
Dong is a post-baccalaureate research associate at the Singh Lab. He graduated from Colgate University in May 2023 with a B.A. majoring in Computer Science and Applied Mathematics. During his undergrad, he worked on projects involving the human gut microbiome and its association with the brain under supervision of Professor Ahmet Ay. He is excited to further explore human genomics data in relation to mental illnesses.
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Pedro has a M.S. in Computer Science and a B.A. in Computer Science-Mathematics and Philosophy from Columbia University. He is eager to use machine learning and statistics to discover associations between psychiatric disorders and genes. He is also interested in the reference class problem in philosophy of probability and in software development.
Faris is currently a third-year Medical Student at the Icahn School of Medicine. He received my BA in Chemistry and Statistics from Williams College summa cum laude. He was an undergraduate research student working with TJ at the Broad Institute of Harvard and M.I.T. between 2020 to 2022 where he investigated the pleiotropy of rare variants in the broader population. He continued on as a research associate at Columbia University where he contributed to a project on imaging genetics and polygenic risk score associations in biobank data. He currently also work at AIMS, a consortium of AI researchers at Mount Sinai Hospital, where he work on machine learning methods development for clinical tasks.
