معرفی
Ranadip Pal is a Professor and Assistant Dean for Strategic Initiatives at Texas Tech University, associated with the Department of Electrical and Computer Engineering under the Whitacre College of Engineering. His interdisciplinary research bridges machine learning, computational biology, and biomedical engineering. He has earned recognition through prestigious awards including the NSF CAREER Award and the Ed and Linda Whitacre Faculty Fellowship (2018).
- PhD, Electrical Engineering, Texas A&M University (2007)
- MS, Electrical Engineering, Texas A&M University (2004)
- B Tech, Electronics & Electrical Communication Engineering, IIT Kharagpur (2002)
Pal's research focuses on predictive modeling in precision medicine, particularly for anti-cancer drug sensitivity and Alzheimer's disease. He pioneered REFINED CNN for feature representation in deep learning, developed topological regression methods for QSAR modeling, and explored federated learning frameworks for biomedical data privacy. His work integrates multi-omics data and addresses tumor heterogeneity through stochastic modeling and control.
Recent publications highlight his innovations in topological regression, conformal prediction for uncertainty quantification, and federated learning applications. His methodologies have been validated through collaborations with institutions like NIH and Argonne National Laboratory.
- NSF CAREER Award
- Whitacre Faculty Fellow (2018)
Pal has mentored numerous PhD students, many of whom now hold positions at leading organizations including Merck, Mayo Clinic, Genentech, and Argonne National Laboratory. His lab actively investigates predictive oncology models and contributes to biomedical software tools like Probabilistic Target Inhibition Maps.
