Sherry Bhalla
Scientist-C |
Decision Unit 4: Systems Biology
Professor |
Academy of Scientific and Innovative Research
Sherry Bhalla uses computational networks and machine learning to integrate multi-omics data—from genome to proteome—to better understand disease mechanisms. Her lab focuses on uncovering molecular drivers of cancer initiation, progression, drug resistance, and metastasis.
Key Research Interests
- Identifying key drivers in cancer subtypes for personalized medicine
- Studying omics-based determinants of drug response in cancer patients
- Multi-omics-informed cell line selection tailored to cancer subtypes
The lab integrates multi-omics datasets using systems biology and machine learning approaches to identify subtype-specific cancer drivers. A major focus is on developing predictive and prognostic models, along with exploring innovative therapeutic strategies to improve disease diagnosis, prevention, and treatment.
Selected Publications
All Citations →- Patient similarity network of newly diagnosed multiple myeloma identifies patient subgroups with distinct genetic features and clinical implications. Bhalla S, Melnekoff DT, Aleman A, Leshchenko V, Restrepo P, Keats J, Onel K, Sawyer JR, Madduri D, Richter J, Richard S, Chari A, Cho HJ, Dudley JT, Jagannath S, Laganà A, Parekh S. Sci Adv. 2021 Nov 19;7(47):eabg9551.
- A Three-Gene Signature Predicts Response to Selinexor in Multiple Myeloma. Restrepo P, Bhalla S, Ghodke-Puranik Y, Aleman A, Leshchenko V, Melnekoff DT, Agte S, Jiang J, Madduri D, Richter J, Richard S, Chari A, Cho HJ, Jagannath S, Walker CJ, Landesman Y, Laganà A, Parekh S. JCO Precis Oncol. 2022 Jun;6:e2200147.
- A Critical Role for Fas-Mediated Off-Target Tumor Killing in T-cell Immunotherapy. Upadhyay R, Boiarsky JA, Pantsulaia G, Svensson-Arvelund J, Lin MJ, Wroblewska A, Bhalla S, Scholler N, Bot A, Rossi JM, Sadek N, Parekh S, Lagana A, Baccarini A, Merad M, Brown BD, Brody JD. Cancer Discov. 2021 Mar;11(3):599-613.
- Expression based biomarkers and models to classify early and late-stage samples of Papillary Thyroid Carcinoma. Bhalla S, Kaur H, Kaur R, Sharma S, Raghava GPS. PLoS One. 2020 Apr 23;15(4):e0231629.
- Prediction and Analysis of Skin Cancer Progression using Genomics Profiles of Patients. Bhalla S, Kaur H, Dhall A, Raghava GPS. Sci Rep. 2019 Oct 31;9(1):15790.