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

2023 - 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

University of Virginia

Senior Data Analyst

2022 - 2023

Led data analysis initiatives and developed analytical solutions to support research and institutional decision-making.

Analyzed large-scale datasets to derive actionable insights
Built statistical models and data visualization dashboards
Collaborated with cross-functional teams on research projects

Projects

Biosurfer for systematic tracking of regulatory mechanisms leading to protein isoform diversity

Biosurfer is a computational tool for comparing protein isoforms by tracking transcriptional, splicing, and translational variations that drive sequence differences. Analysis of 35K+ GENCODE protein pairs revealed that 70% of variable N-termini arise from alternative transcription start sites, while 72% of C-terminal changes involve frameshift-inducing splicing events. Available as a Python package.

Paper Journal Code

Project Title 2

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Paper Code

Project Title 3

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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