👋 Hi! I am Subhodip Panda

🚀 I am a third year Ph.D student at Representation Learning Lab of ECE department, Indian Institute of Science (IISc), Bangalore, advised by Dr. Prathosh A.P. I am very fortunate to be mentored by Dr. Ananda Theertha Suresh during current years of my Ph.D research. Before commencing my doctoral studies, I had the opportunity to spend a brief but enriching period as a Research Associate at Oneirix Labs, where I was involved in developing algorithms using applied mathematics and computational statistics, with a particular emphasis on their applications in Medical AI.

🧑‍🎓 I have completed my post-graduate studies in Statistics from Indian Statistical Institute (ISI), Chennai under the supervision of Prof.Sudheesh Kumar K. and undergraduate studies in ECE from Indian Institute of Engineering Science and Technology (IIEST),Shibpur.

🔍 Research Interests

🧠 My broader research focus lies in designing privacy- and uncertainty-aware learning algorithms. I am particularly curious about understanding the contribution of individual data points in the learning process and developing techniques to remove or “unlearn” the effect of specific data.

💡 I believe Differential Privacy offers a powerful theoretical lens into this question, and Machine Unlearning provides practical tools to achieve it. Additionally, I am interested in distribution-free uncertainty estimation (e.g. conformal prediction) for statistical/deep learning.

📚 Topics of Interest

• 🔐 Privacy: Machine Unlearning, Differential Privacy
• 🎲 Uncertainty: Conformal Prediction, Calibration
• 📘 Others: Statistics, Learning Theory, Information Theory

📫 Feel free to reach out to me via email if your interests align or you’d like to collaborate!