4th Year BS-MS Student | Biology & Data Science
Indian Institute of Science Education and Research (IISER), Pune
A dedicated BS-MS student specializing in Biology and Data Science. Passionate about applying computational and data science techniques to cancer research and targeted therapies. Currently developing expertise in machine learning, deep learning, computer vision, multiplex image analysis (using AI/ML software), and single-cell RNA sequencing analysis. Possesses a strong background in molecular biology methods and bioinformatics. Aiming to utilize computational studies to drive advancements in cancer research.
Indian Institute of Science Education and Research (IISER), Pune
December 2021 – Present
St. Antony's Public School, Kottayam
April 2018 – January 2020 | Graduated with distinction (92.1%)
Chinmaya Vidyalaya, Kannur
Graduated April 2018 | Graduated with distinction (93%)
IISER Pune | February 2025 – Present
Implemented and fine-tuned CNN architectures (ResNet-50, DenseNet) in PyTorch. Utilized transfer learning, data augmentation, and techniques for class imbalance (focal loss, weighted cross-entropy). Preprocessed and analyzed large datasets like CBIS-DDSM and MNIST.
Intern Researcher, Tumor Microenvironment Lab & Leelavati Lab, IISER Pune | August 2024 – January 2025
Analyzed single-cell RNA sequence data using Python to study YAP/TAZ co-expression patterns in breast cancer cells vs. normal mammary epithelial cells. Investigated functional redundancy and unique roles; developed a single-cell analysis pipeline for the lab.
Intern Researcher, Tumor Microenvironment Lab, IISER Pune | January 2024 – August 2024
Studied THBS1 expression patterns in patient tumor samples using multiplex immunofluorescence (Multiplex-IF) with PanCK and CD3 markers. Performed multiplex image analysis using Halo and inForm software.
Head of Wet Lab & Measurements, iGEM IISER Pune 2023 | February 2023 – November 2023
Led the Wet Lab team (focusing on gene knockouts) and served as Measurements Head. Designed and planned daily experiments, contributed significantly to the proof of concept. Involved in computation-based studies, designing optimal production conditions using statistical learning and Design of Experiments (DoE). Team secured Best Education Award, was nominated for Best Climate Crisis Project, and achieved a top-10 global rank (undergrad).
Dr. Leelavati Narlikar
Associate Professor & Deputy Chair, Data Science, IISER Pune
leelavati@iiserpune.ac.in