Mayank Singh

About

Biotechnology undergraduate focused on bioinformatics, data-driven biological research, and computational approaches in genomics and healthcare. Hands-on experience with R, Python, Biopython, next-generation sequencing analysis, and genomic imputation, with project work across transcriptomics, drug discovery, and biomarker analysis.

Experience

• GENOME India Project Intern
  IIT Jodhpur
  2026 – —

  Worked on imputation using national genomic data, reference panel development, and imputation algorithm development; supported GWAS, Mendelian randomization, and population genetic statistics.

• Educational Teacher
  Aarohan NGO
  2025 – —

  Taught mathematics, English, and IT to underprivileged children; contributed to social impact and access to quality education.

Education

• 2028 UP
  B.Tech Biotechnology

  UPES

  2024 – 2028

  2024 – 2028
• 2023 DB
  High School

  Don Bosco School

  Physics, Chemistry, Biology · 2009 – 2023

  Physics, Chemistry, Biology · 2009 – 2023

Skills

Tools / apps / platforms

Projects

• GPU-Accelerated Genomic Imputation ↗
  PyTorch

  Implemented a GPU version of the Li-Stephens imputation HMM and benchmarked it against CPU execution and GLIMPSE2 using 1000 Genomes chromosome 22 data.

• CRISPR-Cas9 Guide RNA Designer ↗
  Python, Biopython

  Developed a tool to identify, score, and rank CRISPR-Cas9 guide RNAs using PAM recognition, GC content, sequence heuristics, and off-target mismatch analysis.

• Endometriosis Transcriptomics Pipeline ↗
  GEO, machine learning

  Built a transcriptomics workflow integrating GEO datasets, batch-effect correction, differential gene expression, classification, and biomarker identification.

• Migraine Drug-Target Discovery Pipeline ↗
  network analysis

  Developed a drug-discovery pipeline integrating GWAS-derived genes, protein-protein interaction networks, disease-module analysis, hub-protein prioritisation, 3D structures, and druggable-pocket detection.

• PCOS Metabolomics and Biomarker Discovery ↗
  MetaboLights, KEGG, RDKit

  Created an end-to-end metabolomics pipeline for differential metabolite analysis, pathway enrichment, visualisation, classification, and biomarker characterisation.

• Machine Learning for Alcohol Yield Prediction ↗
  R

  Built and evaluated regression models to predict wine alcohol content, achieving an R2 of 0.927 with random forest using five-fold cross-validation and feature-importance analysis.

⚽ Extracurricular activities

• CSR Team Member, Ozone Student Society

  Supported community outreach and environmental sustainability initiatives.

• Corporate Social Responsibility Manager, Ozone Student Society

  Led sustainability initiatives, environmental awareness campaigns, and CSR activities.

• Treasurer, Ozone Student Society

  Managed society finances, budgeting, and treasury operations.

• SRIJAN Super Lead

  Led management of first-year health science students participating in SRIJAN Social Internships.

• SAMARTH Lead Enabler

  Led management of second-year health science students participating in SAMARTH Industrial Internships.

• SRIJAN Senior Mentor

  Guided students and supported mentoring and leadership initiatives for SRIJAN.

• SAMARTH Senior Mentor

  Guided students and supported mentoring and leadership initiatives for SAMARTH.

• Alumni Communication Cell Member

  Contributed to alumni engagement and institutional communication initiatives.