Hi, I'm Ankit , an AI/ML researcher. Currently, I am a PhD student at NYU.

About Me

I am a fourth-year PhD student in the Computer Science department under Professor Lakshminarayanan Subramanian at Courant Institute of Mathematical Sciences, New York University. I completed my B.Tech in Computer Science and Engineering from Indian Institute of Technology, Kanpur in 2019. I am interested in building AI systems for real-world problems and doing impactful work. More specifically, my research interests lie in AI applications in the space of healthcare and sustainability.

Understanding Sudden Traffic Jams: From Emergence to Impact
Ankit Bhardwaj*, Shiva Iyer*, Sriram Ramesh, Jerome White, Lakshminarayanan Subramanian. Development Engineering: Journal of Engineering in Economic Development, 2023. DOI: https://doi.org/10.1016/j.deveng.2022.100105
Predicting Treatment Adherence of Tuberculosis Patients at Scale
Mihir Kulkarni*, Satvik Golechha*, Rishi Raj Grandhe*, Jithin K. Sreedharan*, Ankit Bhardwaj, Santanu Rathod, Bhavin Vadera, Jayakrishna Kurada, Kirankumar Rade, Sanjay Mattoo, Rajendra Joshi, Alpan Raval. Machine Learning for Health Symposium, 2022. Outstanding Paper Award.
Learning Pollution Maps from Mobile Phone Images
Ankit Bhardwaj, Shiva Iyer, Yash Jalan, Lakshminarayanan Subramanian. IJCAI, 2022. Oral Presentation.
High Precision Mammography Lesion Identification From Imprecise Medical Annotations
Ulzee An, Ankit Bhardwaj, Shameer Khader, Lakshminarayanan Subramanian. Frontiers in Big Data, 2021. DOI: 10.3389/fdata.2021.742779

Robust lock-down optimization for COVID-19 policy guidance
Ankit Bhardwaj*, Han-Ching Ou*, Haipeng Chen, Shahin Jabbari, Milind Tambe, Rahul Panicker, Alpan Raval. AAAI Fall Symposium on AI for social good, 2020. Slide deck and video presentation.

* represents equal contribution

Limitations of scRNA-seq Zero-Imputation Methods for Network Inference
Ankit Bhardwaj, Joshua Weiner, Preetha Balasubramanian, Lakshminarayanan Subramanian. ICML Workshop on Machine Learning for Life and Material Science: From Theory to Industry applications, 2024.
Enabling High Bandwidth Applications over 5G Environments
Rohail Asim, Ankit Bhardwaj, Lakshminarayanan Subramanian, Yasir Zaki. Demo in ACM SIGCOMM, 2024.

Discovering Hidden Pollution Hotspots From Sparse Sensor Measurements
Ankit Bhardwaj, Ananth Balashankar, Shiva Iyer, Nita Soans, Anant Sudarshan, Rohini Pande, Lakshminarayanan Subramanian.
Generation of a Compendium of Transcription Factor Cascades and Identification of Potential Therapeutic Targets using Graph Machine Learning
Sonish Sivarajkumar, Pratyush Tandale, Ankit Bhardwaj, Kipp W Johnson, Anoop Titus, Benjamin S Glicksberg, Shameer Khader, Kamlesh K Yadav, Lakshminarayanan Subramanian.