Mohit Kumar Jolly
Associate Professor
Phone : +91-80-2293 2751 (O)
E-mail: mkjolly@iisc.ac.in
Website: https://be.iisc.ac.in/~mkjolly/
Research Interests:
Computational Systems Biology, Cancer Metastasis, Therapy Resistance, Phenotypic plasticity and heterogeneity, Cellular networks, Physics of Cancer
Educational History
Post-PhD: Rice University/MD Anderson Cancer Center (2018)
PhD: Rice University (2016)
Masters: IIT Kanpur (2012)
Bachelors: IIT Kanpur (2010)
Courses offered
BE 213 (Fundamentals of Bioengineering – I)
BE 207 (Mathematical Methods for Bioengineers)
BE 216 (Dynamical Systems Biology)
Awards / Honours / Affiliations
- ICTP Prize, 2023
- Young Alumnus Award, IIT Kanpur, 2022
- Editor-in-Chief, NPJ Systems Biology & Applications
Publications
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Subhadarshini S*, Sahoo S*, Debnath S, Somarelli JA, Jolly MK (2023). Dynamical modelling of proliferative-invasive plasticity and IFNγ signaling reveals mechanisms of PD-L1 expression heterogeneity in melanoma. Journal for ImmunoTherapy of Cancer, 11: e006766
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Hari K, Ullanat U, Balasubramanian A, Gopalan A, Jolly MK (2022). Landscape of epithelial-mesenchymal plasticity as an emergent property of coordinated modules in regulatory networks. eLife, 11: e76535
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Sahoo S, Mishra A, Kaur H, Hari K, Muralidharan S, Mandal S, Jolly MK (2021). A mechanistic model captures the emergence and implications of non-genetic heterogeneity and reversible drug resistance in ER+ breast cancer cells. NAR Cancer, 3 (3): zcab027
- Chauhan L*, Ram U*, Hari K, Jolly MK (2021). Topological signatures in regulatory network enable phenotypic heterogeneity in small cell lung cancer. eLife, 10: e64522
- Sahoo S, Mishra A, Kaur H, Hari K, Muralidharan S, Mandal S, Jolly MK (2021). A mechanistic model captures the emergence and implications of non-genetic heterogeneity and reversible drug resistance in ER+ breast cancer cells. NAR Cancer, 3 (3): zcab027
- Hari K, Sabuwala B, Subramani BV, La Porta C, Zapperi S, Font-Clos F, Jolly MK (2020). Identifying inhibitors of epithelial-mesenchymal plasticity using a network topology based approach. NPJ Systems Biology & Applications, 6: 15