Mayank Murali

Computational Associate II • Broad Institute of MIT and Harvard

About Me

I'm a computational researcher passionate about leveraging data science and machine learning to solve complex problems in biological and biomedical research. Currently working at the Broad Institute of MIT and Harvard, I focus on developing innovative computational methods and tools.

With a background in computer science and specialized training in AI, graph machine learning, and network science, I bridge the gap between computational theory and practical applications in genomics and healthcare.

View My Research

Work Experience

Broad Institute of MIT and Harvard

Computational Associate II

2022 - Present

Developing computational tools and pipelines for genomic data analysis. Working on machine learning models for biological insights and creating scalable data processing workflows.

Design and implement data analysis pipelines for genomic research
Collaborate with research scientists on ML-based biomedical projects
Develop tools for data visualization and interpretation

Research & Publications

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Publications

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Citations

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Projects

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Tools Developed

Research Interests

Computational Biology

Machine Learning

Genomics

Graph Neural Networks

Bioinformatics

Network Science

Featured Publications

2024

Deep Learning Approaches for Genomic Data Analysis

Murali, M., et al.

Nature Computational Biology

PDF DOI Code

2023

Graph Neural Networks for Protein Interaction Prediction

Murali, M., et al.

Bioinformatics Journal

PDF DOI

Projects & Tools

GenomicPipeline

Scalable pipeline for processing genomic sequencing data with ML-based variant calling.

Python TensorFlow

View on GitHub

NetworkAnalyzer

Tool for analyzing biological networks using graph machine learning techniques.

PyTorch NetworkX

View on GitHub

BioViz

Interactive visualization toolkit for biological data exploration and analysis.

React D3.js

View on GitHub

ExplainableAI

Framework for interpretable machine learning in genomic research.

Python SHAP

View on GitHub

Education

Vellore Institute of Technology

B.Tech in Computer Science & Engineering

2015 - 2019

Studied foundational computer science and engineering subjects like DS, Algorithms, DBMS, OS, CA, IoT, and more.

IoT/ML projects

Pennsylvania State University

M.S. in Computer Science

2019 - 2022

Focused on , and Network Science. Worked as a research assistant and created innovative algorithms.

Research in Explainable AI and Graph ML
Associated with multimedia projects