About me

I am a first-year PhD candidate at Hasso-Platner Institute, University of Potsdam, working under the supervision of Prof. Christoph Lippert. I am part of the European Laboratory for Learning and Intelligent Systems (ELLIS) PhD cohort 2024. I have a background in Machine Learning and Biomedical Engineering and currently work at the intersection of both fields. My research interests include vision-language models, generative models, and continual learning with particular applications in the medical imaging domain. I am currently interested in learning about the genomics basis of the phenotypes using Deep Learning. Feel free to reach out if this sounds interesting to you. You can find my resume here.

Awards

• 🏅 Gold Medal in B.E. Biomedical Engineering - NEDUET 2021
• 🏆 3rd Place in the BraTS Adult Glioma Segmentation Challenge - MICCAI 2023
• 🏆 2nd Place in the BraTS GoAT Challenge - ISBI 2024
• 🥈 2nd position in the Middle-East Alibaba Cloud AI Hackathon - GITEX 2023
• 🏆 Winner Bioinformatics Hackathon - Insilico Medicine 2024
• 🎖️ Finalist Aspire Leaders Program - Harvard Business School 2021
• 🏆 Icon Award in Pakistan’s first Youth Leadership Conference - Markhor 2021

News

Check google scholars to see the completed list of publications.

• 🚀 August 2024: Started PhD at HPI.
• 📝 June 2024: One paper accepted in MICCAI 2024.
• 🎓 June 2024: Graduate with an MSc in Machine Learning from MBZUAI.
• 📝 June 2024: Our review paper on Continual Learning for Medical Imaging is out on arXiv.
• 📝 April 2024: Our paper on Realistic X-Ray generation through a controllable diffusion model is out on arXiv code.
• 📝 December 2023: Paper accepted at IEEE-ISBI 2024.
• 📝 November 2023: Paper accepted in MICAD 2023.
• 🧮 July 2023: Started internship at Inception Institute of Artificial Intelligence (IIAI) - G42, Abu Dhabi.
• 🚀 August 2022: Started MSc Machine Learning at MBZUAI.