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Hi there 👋

I'm a fourth year PhD candidate in the Bo Wang Lab at the University of Toronto and the Vector Institute.

My research involves the development and application of machine learning and computational biology methods in single-cell genomics. Previously, I've worked on computational biology software development in COVID-19, transcriptional regulation, and high-throughput sequencing analysis.

Email: hurmaan99 [at] gmail.com
Google Scholar: Hassaan Maan

Hassaan's GitHub stats

Hassaan Maan's Projects

atom icon atom

:atom: The hackable text editor

cov19_msa icon cov19_msa

Multiple sequence alignment of SARS-CoV-2 genomes without homoplasic sites

covid-19-signal icon covid-19-signal

Files and methodology pertaining to the sequencing and analysis of SARS-CoV-2, causative agent of COVID-19.

covidgenotyper icon covidgenotyper

Visualization toolkit for SARS-CoV-2 whole genome sequencing data

crotalinae-venom icon crotalinae-venom

An exploratory analysis of pit viper venom composition, venom toxicity, and evolutionary correlation.

falcon-phylosig icon falcon-phylosig

Phylogenetic signalling analysis for physical trait data of Falco genus.

iniquitate icon iniquitate

Analysis of imbalanced data and its impacts in a scRNA-seq integration setting

light-seq icon light-seq

High-throughput sequencing analysis pipeline

llama icon llama

Inference code for LLaMA models

loompy icon loompy

Python implementation of the Loom file format - http://loompy.org

looprig icon looprig

An R package for the analysis of chromatin loop data

ml-srt icon ml-srt

Machine learning methods for spatially resolved transcriptomics with histology images: a collection of related resources.

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