Summary
Adyasha Maharana is a research scientist with 11 years of experience applying machine learning and deep learning to real-world problems across industry and academia, now contributing to Databricks Mosaic Research in San Francisco. She holds a PhD in Computer Science from UNC Chapel Hill and an MS in Biomedical & Health Informatics, blending strong theoretical foundations with applied work in NLP, computer vision, and geospatial analysis. Her background spans internships and research roles at Snap, AI2, Adobe, IBM and the Allen Institute, along with applied NLP work for public health and genomics-related compression at IBM that led to significant storage savings and a patent filing. Adyasha combines systems-level thinking from early hardware and FPGA projects with modern ML research, and she has a history of translating novel algorithms into deployable solutions.
11 years of coding experience
8 years of employment as a software developer
10th Board (ICSE), 96.3%, 10th Board (ICSE), 96.3% at St. Vincents' Convent School, Berhampur, Odisha
Master of Science (M.S.), Biomedical & Health Informatics, Master of Science (M.S.), Biomedical & Health Informatics at University of Washington School of Medicine
+2 Science (CHSE State Board), 83%, +2 Science (CHSE State Board), 83% at Khallikote College, Berhampur, Odisha
Dual Degree (M.Tech + B.Tech), Electrical, Electronics and Communications Engineering, Dual Degree (M.Tech + B.Tech), Electrical, Electronics and Communications Engineering at Indian Institute of Technology, Kharagpur
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of North Carolina at Chapel Hill