Sign up for Virtual Chats here. | View Academic Calendar 2022-23 here. | Admissions for TLP Class of 2024 are now open. Click here to Apply

Dr. Somali Chaterji

Current Position

Visiting Assistant Professor of CS, Purdue University

Visiting Faculty, Plaksha Technology Leaders Program

Education

Ph.D. (Purdue University)


B.S. (North Carolina State University)

Bio

Somali Chaterji is an Assistant Professor in the Department of Agricultural and Biological Engineering at Purdue University. She works in the areas of data science and engineering for digital agriculture and genomics and in building cyberinfrastructures for these domains. She is a part of the WHIN (Wabash Heartland Innovation Network) leadership team working to bring IoT to advance agriculture. Data is power! She believes in leveraging the power of big data by drawing actionable insights from diverse agricultural sensing data to make agricultural practices high-throughput and sustainable. As a second thrust of her work, Prof. Chaterji is extracting insights from epigenomic data for predictive and personalized healthcare, one in which health and vitality is the focus.


Research interests:


The primary focus of her research is applied data analytics and data engineering directed at the domains of digital agriculture and precision health.


Publications:


Chaterji, S., DeLay, N., Evans, J., Mosier, N., Engel, B., Buckmaster, D., and Chandra, R. (2020). Artificial Intelligence for Digital Agriculture at Scale: Techniques, Policies, and Challenges. arXiv preprint arXiv:2001.09786. Paper


Jiang, X., Yi, E. A. B., Raghunathan, N., Mousoulis, C., Chaterji, S., Peroulis, D., Shakouri, A., and Bagchi, S. (2020). Hybrid Low-Power Wide-Area Mesh Network for IoT Applications. arXiv preprint arXiv:2006.12570, . Paper


Lee, J., Jeon, O., Kong, M., Abdeen, A. A., Shin, J., Lee, H. N., Lee, Y. B., Sun, W., Bandaru, P., Alt, D. S., Lee, K., Kim, H., Lee, S. J., Chaterji, S., Shin, S. R., Alsberg, E., and Khademhosseini, A. (2020). Combinatorial screening of biochemical and physical signals for phenotypic regulation of stem cell–based cartilage tissue engineering. Science Advances, American Association for the Advancement of Science. Paper


Abdallah, M., Mahgoub, A., Ahmed, H., and Chaterji, S. (2020). Athena: Automated Tuning of k-mer based Genomic Error Correction Algorithms using Language Models (vol 9, 16157, 2019). Scientific Reports, Nature Publishing Group. Paper