Tarjinder (TJ) Singh, Ph.D.
I am an Assistant Professor of Computational and Statistical Genomics at Columbia University’s Department of Psychiatry and the New York State Psychiatric Institute (NYSPI) and an associate faculty member at the New York Genome Center (NYGC). I also have an interdisciplinary appointment at Columbia University’s Zuckerman Mind Brain Behavior Institute.
I received my Bachelor’s Degree in Biology, Mathematics, and Economics at Williams College in 2012. I completed my graduate studies at the University of Cambridge and the Wellcome Trust Sanger Institute with Dr. Jeffrey Barrett in 2016. I continued his training at the Analytical and Translational Unit of the Massachusetts General Hospital and the Stanley Center for Psychiatric Research at the Broad Institute of Harvard and M.I.T. with Dr. Mark Daly and Dr. Benjamin Neale as a post-doctoral fellow (2017 - 2020) and an Instructor at Harvard Medical School (2020 - 2022).
As part of global collaborative efforts, I have analyzed large-scale sequence data to identify protein-coding variants in individual genes that confer substantial risk for psychiatric disorders. I am interested in using genome sequencing as a foundational tool to understand the etiology of mental illnesses.
Minji Kim
Minji Kim
Postdoctoral Research Fellow
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.
Shaked Leibovitz
Shaked Leibovitz
Research Associate
I am a post-baccalaureate computational research associate at the Singh Lab. I graduated from Harvard University in May 2023 with a B.A. in Neuroscience, Mind Brain Behavior track. During my undergrad, I researched the effects of mindfulness training on brain mechanisms of fear extinction learning, as a possible intervention for trauma-related disorders. I am excited to explore human genomics in relation to mental illness to help develop effective therapeutic interventions.
Dong Wang
Dong Wang
Research Associate
I am a post-baccalaureate research associate at the Singh Lab. I graduated from Colgate University in May 2023 with a B.A. majoring in Computer Science and Applied Mathematics. During my undergrad, I worked on projects involving the human gut microbiome and its association with the brain under supervision of Professor Ahmet Ay. I'm excited to further explore human genomics data in relation to mental illnesses.
Pedro Lazcano
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Pedro Lazcano
Research Associate
I have a M.S. in Computer Science and a B.A. in Computer Science-Mathematics and Philosophy from Columbia University. I am eager to use machine learning and statistics to discover associations between psychiatric disorders and genes. I am also interested in the reference class problem in philosophy of probability and in software development.
Clarence Jiang
Clarence Jiang
Research Associate
I'm currently a graduate student of the Master of Computer Science Program at Columbia University and was a student at Emory University for undergraduate study. I am excited to work on the data-relevant job to extract hidden insights, especially machine learning application in phenotype analysis and genomics area. Also, I'm interested in software development as well.
Giorgia Merolli
Giorgia Merolli
Rotating Graduate Student
I am a first year PhD Student in the Genetics and Development program at Columbia University. I graduated from Rutgers University with a degree in Molecular Biology and Biochemistry and worked on chromatin epigenetics in olfactory sensory neurons. I am excited to work in the realm of human genetics during my PhD and help elucidate the complexity underlying genetic variation and how that can help us better understand and diagnose disease.
Fion Shiau
Fion Shiau
Rotating Graduate Student
Fion is a first year PhD Student in the Systems Biology track of the Integrated CMBS program at Columbia. She is interested in single-cell technologies with neuroscience applications.
Zhiyan Yang
Zhiyan Yang
Research Associate
Zhiyan is a first-year graduate student in Neuroscience and Education program at Columbia. She studied psychology at NYU as an undergraduate. She is performing exploratory data analysis on the postmortem brain database of the MIND division.
Faris Gulamali
Faris Gulamali
Research Associate
I’m currently a second-year Medical Student at the Icahn School of Medicine. I received my BA in Chemistry and Statistics from Williams College summa cum laude. I was an undergraduate research student working with TJ at the Broad Institute of Harvard and M.I.T. between 2020 to 2022 where I investigated the pleiotropy of rare variants in the broader population. I continued on as a research associate at Columbia University where I contributed to a project on imaging genetics and polygenic risk score associations in biobank data. I currently also work at AIMS, a consortium of AI researchers at Mount Sinai Hospital, where I work on machine learning methods development for clinical tasks.
Alumni
Alina Luchyshyn
Alina Luchyshyn
Research Associate
I am a senior at Williams College (class of 2023), and I am majoring in Biology and German. I had the pleasure to work with TJ in the summer of 2020 after my freshman year, where he supervised me doing computational research on the GTEx dataset of gene expression in variable tissues. I kept on doing computational biology research at Williams throughout my second year until I got an opportunity to work in Sabatini's lab in Whitehead Institute studying protein interactions during the summer of 2021. This year, I plan to do my thesis in the biochemistry lab at Williams, where I want to investigate ASAP1 protein's role in ovarian cancer, and I hope to continue on doing cancer-related research after finishing my undergraduate degree.
Alumni
Raphael Rakosi-Schmidt
Raphael Rakosi-Schmidt
Research Associate
I’m currently a senior at Williams College majoring in Biology with dual concentrations in Neuroscience and Molecular Biology. I worked under TJ during the summer of 2021 as a recipient of the Williams-Whitehead Scholarship, where I completed a project in Python and R, analyzing proteomic data to investigate phenotypic enrichment in a murine model of Alzheimer’s disease. Currently, I’m working on a thesis project in the Lebestky Laboratory, where I am using transcriptomics to better understand the role of the toll receptor in pathogen sensing in the D. melanogaster nervous system. After Williams, I intend to pursue computational neurobiology research at the graduate level.
Alumni
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Postdoctoral Research Fellow
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Graduate Student
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Research Associate