Kopal Garg - MSc CS UofT '23 | Engineering UWaterloo '21

Kopal Garg

I am a data scientist working on problems at the intersection of machine learning and biology. I enjoy cloud computing and deep learning. I have experience developing cloud-based platforms for analyzing large genomics sequencing datasets and building, and containerizing deep learning models for time series forecasting.

gargkopal24[at]gmail.com / contact for CV / LinkedIn / Personal GitHub / Work GitHub

Education

M.Sc. in Computer Science
Department of Computer Science, University of Toronto
Sept. 2021 - Dec. 2022 | Toronto, ON

Graduate Scholarship

B.A.Sc in Biomedical Engineering, Co-op
Faculty of Applied Science and Engineering, University of Waterloo
Sept. 2016 - May 2021 | Waterloo, ON

President's Scholarship
Dean's Honour List - 2019-2021

Work Experience

Data Scientist and Data Engineer
Cartography Dec 2022 - Present | Remote

Cloud-based platform for processing and analyzing large genomics sequencing datasets

ML Researcher
Vector Institute, Goldenberg Lab | Advised by Prof. Anna Goldenberg
Department of Computer Science, University of Toronto
May 2021 - Jan 2023 | Toronto, ON

Research in artificial intelligence and healthcare. Topics include time-series, change-point detection.

Data Science/ ML Intern
IBM
May 2022 - Aug. 2022 | Toronto, ON

* Developed content for IBM's Deep Learning and Reinforcement Learning course on Coursera with ~10k learners.
* Created several guided projects with 150+ learners.

coursera | GP on PyScript | GP on ML Explainability | GP on sequential data | GP on transfer learning

Data Scientist Intern
Broad Institue of MIT and Harvard
May. 2019 - Aug 2021 | Cambridge, MA

Research in computational biology, genome-wide association studies, singel-cell RNA sequencing studies.

Research Projects

Time-Varying Correlation Networks for Interpretable Change Point Detection
Kopal Garg, Sana Tonekaboni, Anna Goldenberg
In submission, 2022 github

Single-cell multi-omics reveals dynamics of purifying selection of pathogenic mitochondrial DNA across human immune cells
Caleb A Lareau, Sonia M Dubois, Frank A Buquicchio, Yu-Hsin Hsieh, Kopal Garg , Pauline Kautz, Lena Nitsch, Samantha D Praktiknjo, Patrick Maschmeyer, Jeffrey M Verboon, Jacob C Gutierrez, Yajie Yin, Evgenij Fiskin, Wendy Luo, Eleni Mimitou, Christoph Muus, Rhea Malhotra, Sumit Parikh, Mark D Fleming, Lena Oevermann, Johannes Schulte, Cornelia Eckert, Anshul Kundaje, Peter Smibert, Ansuman T Satpathy, Aviv Regev, Vijay G Sankaran, Suneet Agarwal, Leif S Ludwig
In submission, 2022 github

Classification of Chest X-Rays Using Shallow and Deep Learning Methods
Kopal Garg
CSC2515, 2021
report

Anti-Asian Hate Speech Classification
Kopal Garg
CSC2612, 2021
report | github

Reliability of a Three-Dimensional Scanning Technique and Metrics Quantifying Pectus Deformities
Tomasz Bugajski, Bahareh Vafadar, Emma Gray, Kopal Garg, Marc Schneider, [...] Janet Ronsky
International Society of Biomechanics, 2019
braceworks

DNA Methylation Signature for EZH2 Functionally Classifies Sequence Variants in Three PRC2 Complex Genes
Sanaa Choufani, William T Gibson, Andrei L Turinsky, Brian H Y Chung, Tianren Wang, Kopal Garg, Alessandro Vitriol, [...], Rosanna Weksberg
American Journal of Human Genetics, 2020
pubmed

Personal Projects

Web-app: gene expression

Display the schematic of gene expression during adult and fetal erythropoiesis | github | app

Web-app: gnomAD Gene Model
github | app

R package: gggwas

R package for various Genome-Wide Association Study visualizations | github

Deep Learning for face shape classification and hair-style recommendation
github

Web-app: isoform frequencies

Visualize frequncies of isoforms within single genes for different hematopoietic cell lines | github

Web-app: variant filtering

Interactive variant tables for easy filtering. | github