Tanya Bansal

Computational Biologist and direct Ph.D. Scholar at IIT Delhi, selected for the Ph.D. program immediately after B.Tech. through a national-level entrance and interview. Skilled in Python, R, Machine learning, Deep Learning, and LLM-based workflows. Developed multiple end-to-end pipelines, including a genomic analysis framework using BiLSTM architectures. Experienced in integrating biological insights with advanced computational methods. Looking to contribute to innovative research teams by applying advanced computational methods and ML/DL techniques to complex biological problems.

• Manasvi, Class IX - XII girls, STEM mentorship program for high school girls, organized by Academic Outreach and New Initiatives Office, IIT Delhi., 05/14/25 - 05/17/25
• Tanvi Mathur, B.Tech., IIT Delhi, A computational approach to identify novel multicopper oxidases for polyethylene oxidation., 05/2025 - 09/2025
• Divya, B.Tech., IIT Delhi, 05/2025 - 09/2025
• Shailajaa Raj, B.Tech., IIT Delhi, 05/2025 - ongoing

• Playing badminton
• Solving sudoku

Leveraging artificial intelligence for in-depth plasmid replicon analysis and developing a genetic toolkit for Rhodococcus sp. IITD102, Ongoing, Prof. (Dr.) Preeti Srivastava, preeti@dbeb.iitd.ac.in, Prof. (Dr.) D. Sundar, sundar@dbeb.iitd.ac.in, Indian Institute of Technology, Delhi 

• PG Convenor, CAIC, IIT Delhi, 2025-26
• General Secretary (Overall Coordinator), BETA, 2025-26
• Industrial Visit Coordinator, IIT Delhi - Anthem Biosciences, Bangalore
• Jury Member, Innovate to Heal: Preventive and Curative Healthcare for Future, Served as a jury member for the innovation event organized by the JUIT's Innovation Council in collaboration with IEEE JUIT SPS Chapter, TIED Cell, NSS, and other academic departments at JUIT, Waknaghat.
• Member, Training and Placement Cell of JUIT, One of the four coordinators for batch of 2019-23 for Biotechnology & Bioinformatics branch.

• Age: 26
• Date of Birth: 04/14/99
• Gender: Female
• Nationality: Indian
• Marital Status: Unmarried