Faculty Details

Faculty Details

  • Name: Dr. Pramod Rajaram S.
  • Mail: pramodrajaramsgmail.com
  • Contact:
  • Area Of Research:Systems and Computational Medicine, Therapeutic Engineering, Chronotherapeutics, Biomedical informatics, Physiomics and Phenomics, Life systems and sustainability research



Vacancies: We are actively looking for a suitable candidates for PhD and a JRF positions in our lab.

Desirable: The candidates with prior experience and interest in mathematical modelling of biological systems and AI/ machine learning with M.Tech/ IMSc in Biotechnology/ Systems and computational biology/ Bioinformatics/ Biomedical engineering/ Biochemical engineering/ Chemical engineering / Electronics or Computer engineering  and have qualified CSIR/ DBT/ICMR JRFs are encouraged to apply through university portal and express interest by contacting us.

Systems & Computational Medicine:  Development of Human Metabolic Endocrine Simulator (HuMEnS project). Computational mechanistic modelling for systems physiology and pharmacology to identify disease mechanisms, drug targets and therapy design for systemic cardiometabolic, endocrine, neurological and circadian disorders. Physiomics  studies. Computational phytochemical drug discovery for cancer (Phyt-Cancer project).

Biomedical Informatics: Big-data analytics for complex diseases to identify multi-omics biomarkers from network based disease signatures using artificial intelligence, machine learning,  causal analysis and mechanistic models. Analysis of clinical and biomedical patient data for personalized and precision medicine application. Phenomics studies. The StrECH study and Diabetomics project.

Therapeutic  Engineering: Design of biomedical control system for chronotherapeutic drug delivery and chronomedicine. Analysis of circadian neuro-endocrine-immune and metabolic dynamics for treatment of systemic inflammation, metabolic and neurological disorders. Genome-scale metabolic engineering for biomedical applications. The Chrono-Med project.

Life-Systems Engineering: Modelling and analysis of natural systems based on quantification of living systems theory including areas of evolutionary biology, population dynamics, ecosystem, environment and psycho-social determinants of human behavior for enhancing public health and sustainable living. Engagement in outreach activities through HealthSuRFThe LifeSuRe project

              

              Teaching

  •            For students of M.Tech Bioinformatics, IMSc Systems Biology and M.Tech (M&S) Computational Biology and adjunct 
  •            faculty for Center for Modelling Simulation and Design and Dept. of Biotechnology and Bioinformatics
  •            Computational Systems Biology- 3 Credits
  •            Systems and Computational Medicine- 2 Credits
  •            Biosystems Modelling and Simulations- 5 Credits
  •            

              Experience

  •            PI and Assistant Professor, Dept. of Systems and Computational Biology, University of Hyderabad, (Aug 2020 onwards)  
  •            CoPI and Faculty, DBT/Wellcome Trust India Alliance - Asian Centre for Endocrine Pancreas Research, (Mar 2024 onwards)
  •            Sr. Scientist, Systems Biology and Metabolic Engg. Lab, Dept. of Chemical Engg., IIT Bombay, INDIA (April 2019- May 2020)
  •            Harvard Associate, Bioengineering Div., Harvard School of Engineering and Applied Sciences, USA (April 2019-Mar 2021)                               
  •            Research Associate, Bioengineering Div., Harvard School of Engineering and Applied Sciences, USA (Aug 2018-Mar 2019)
  •            Post-Doctoral Fellow, Bioengineering Div., Harvard  School of Engineering and Applied Sciences,  USA (Aug 2015-Mar 2019)
  •            Sr. Research Scientist, Biosystems Engg. Lab, Dept. of Chemical Engg., IIT Bombay, INDIA (Jan 2015-July 2015)
  •            Research Associate, Biosystems Engg. Lab, Dept. of Chemical Engg., IIT Bombay, INDIA (June 2014-Dec 2014)
  •            Technologist (R&D), Bio-Process Development, DSM Chemical Division, New Delhi, INDIA (Nov 2006- June 2009)
  •            Project Scholar, Dept. Fermentation Tech. and Bio-Engineering, CFTRI Mysore, INDIA (May 2005-Oct 2006)
  • Professional Development
  •         Systems Biology and Chronotherapeutics, Harvard School of Engineering and Applied Sciences, Harvard University, USA.
  •         Biomedical Control Engineering, Harvard School of Engineering and Applied Sciences, Harvard University, USA.
  •         Network Medicine, Chrono-medicine, Sleep medicine and Lifestyle Medicine, Harvard Medical School, USA.
  •         Biostatistics in Healthcare, Bloomberg School of Public Health, John Hopkins University, USA.
  •         AI in Healthcare and Medicine, Stanford School of Medicine, Stanford University, USA.
  •         Biomedical Data Science, Harvard School of Public Health, Harvard University, USA.
  •         Principal and Practice of Clinical Research, National Institute of Health-NIH, USA.
  •         Causal Inference from Epidemiological Data, University of Pennsylvania, USA. 
  •         Epidemiological Research in Public Health, Imperial College of London, UK. 
  •   
  •  Memberships
  •         FRSPH: Fellow of The Royal Society for Public Health (UK)
  •         FISC:  Fellow of The Indian Society for Chronomedicine
  •         Member of The Physiological Society (UK)       
  •         Member of the European Society for Preventive Medicine (UK)  
  •         Member of International Society for Evolution, Medicine and Public Health (ISEMPH)
  •      
  • Education
  •           Ph.D, Biosystems Engineering, Dept. of Chemical Engg., IIT Bombay, INDIA, 2014.
  •           M.B.A, Professional with Operations and Projects Management, NIBM, INDIA, 2009.
  •           M.Tech, Chemical Technology (Food & Bioprocess Engg.), LIT Nagpur, INDIA, 2006.
  •           B.Tech, Chemical Technology, UDCT Aurangabad, INDIA, 2004.
                Publications

                      Google Scholars

               Lab website : PhySioME lab
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28 Chaudhari, Swapnali S., Somvanshi, Pramod R., (2023) , A methodological analysis of CTRI registered clinical trials on ayurveda interventions for COVID-19 management , Journal of Ayurveda and Integrative Medicine, Elsevier,14,1,100631.
27 Samayaditya Singh, Manjari Kiran, Somvanshi P.R. (2023) , Computational inference of gene regulatory networks using CHIP-X data , Reverse Engineering of Regulatory Networks, Methods in Molecular Biology, Springer Nature,2719,,.
26 Gopikrishnan Bijukumar, and Somvanshi P.R. (2023) , Reverse engineering in Biotechnology,: Role of genetic engineering in synthetic biology , Reverse Engineering of Regulatory Networks, Methods in Molecular Biology, Springer Nature,2719,,.
25 Sabui A, Biswas M, Somvanshi PR, Kandagiri P, Gorla M, Mohammed F, Tammineni P*. (2022) , Decreased anterograde transport coupled with sustained retrograde transport contributes to reduced axonal mitochondrial density in tauopathy neurons , Frontiers in Molecular Neurosciences, ,,,.
24 Tomar, Manu., Somvanshi, Pramod R., Kareenhalli, Venkatesh., (2022) , Physiological significance of bistable circuit design in metabolic homeostasis: role of integrated insulin-glucagon signalling network , Molecular Biology Reports, Springer Netherlands Dordrecht,49,6,5017-5028.
23 Sabui, Anusruti., Biswas, Mitali., Somvanshi, Pramod Rajaram., Kandagiri, Preethi., Gorla, Madhavi., Mohammed, Fareed., Tammineni, Prasad., (2022) , Decreased anterograde transport coupled with sustained retrograde transport contributes to reduced axonal mitochondrial density in tauopathy neurons , Frontiers in Molecular Neuroscience, Frontiers,,,482.
22 Iyer, Mahesh S., Pal, Ankita., Srinivasan, Sumana., Somvanshi, Pramod R., Venkatesh, KV., (2021) , Global transcriptional regulators fine-tune the translational and metabolic efficiency for optimal growth of Escherichia coli , Msystems, American Society for Microbiology 1752 N St., NW, Washington, DC,6,2,e00001-21.
21 Wu, Gwyneth WY., Wolkowitz, Owen M., Reus, Victor I., Kang, Jee In., Elnar, Mathea., Sarwal, Reuben., Flory, Janine D., Abu-Amara, Duna., Hammamieh, Rasha., Gautam, Aarti., (2021) , Serum brain-derived neurotrophic factor remains elevated after long term follow-up of combat veterans with chronic post-traumatic stress disorder , Psychoneuroendocrinology, Pergamon,134,,105360.
20 Rao, Rohit., Somvanshi, Pramod., Klerman, Elizabeth B., Marmar, Charles., Doyle, Francis J., (2021) , Modeling the Influence of Chronic Sleep Restriction on Cortisol Circadian Rhythms, with Implications for Metabolic Disorders , Metabolites, Multidisciplinary Digital Publishing Institute,11,8,483.
19 Dean, Kelsey R., Hammamieh, Rasha., Mellon, Synthia H., Abu-Amara, Duna., Flory, Janine D., Guffanti, Guia., Wang, Kai., Daigle Jr, Bernie J., Gautam, Aarti., Lee, Inyoul., (2020) , Multi-omic biomarker identification and validation for diagnosing warzone-related post-traumatic stress disorder , Molecular psychiatry, Nature Publishing Group UK London,25,12,3337-3349.
18 Somvanshi, Pramod R., Mellon, Synthia H., Yehuda, Rachel., Flory, Janine D., Bierer, Linda., Makotkine, Iouri., Marmar, Charles., Jett, Marti., Doyle III, Francis J., (2020) , Role of enhanced glucocorticoid receptor sensitivity in inflammation in PTSD: Insights from computational model for circadian-neuroendocrine-immune interactions , American Journal of Physiology-Endocrinology and Metabolism, American Physiological Society Rockville, MD,,,.
17 Bersani, F Saverio., Mellon, Synthia H., Lindqvist, Daniel., Kang, Jee In., Rampersaud, Ryan., Somvanshi, Pramod Rajaram., Doyle III, Francis J., Hammamieh, Rasha., Jett, Marti., Yehuda, Rachel., (2020) , Novel pharmacological targets for combat PTSD—metabolism, inflammation, the gut microbiome, and mitochondrial dysfunction , Military medicine, Oxford University Press,185,Supplement_1,311-318.
16 Kang, Jee In., Mueller, Susanne G., Wu, Gwyneth WY., Lin, Jue., Ng, Peter., Yehuda, Rachel., Flory, Janine D., Abu-Amara, Duna., Reus, Victor I., Gautam, Aarti., (2020) , Effect of combat exposure and posttraumatic stress disorder on telomere length and amygdala volume , Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, Elsevier,5,7,678-687.
15 Somvanshi, Pramod R., Tomar, Manu., Kareenhalli, Venkatesh., (2019) , Computational Analysis of insulin-Glucagon Signalling network: implications of Bistability to Metabolic Homeostasis and Disease states , Scientific reports, Nature Publishing Group,9,1,1-11.
14 Rao, Rohit., Dean, Kelsey., Misganaw, Burook., Somvanshi, Pramod., Doyle, Francis., (2019) , Validation of a Multi-Omic Biomarker Panel and Analysis of Disease Progression Trajectories in a Novel Longitudinal PTSD Cohort , Biological Psychiatry, Elsevier,85,10,S96.
13 Chaudhari, Swapnali Suresh., Somvanshi, Pramod Rajaram., Fregni, Felipe., (2019) , Transcranial direct current stimulation for opioid use disorder: protocol for a pilot randomized controlled trial , Principles and Practice of Clinical Research, ,5,2,51-57.
12 Somvanshi, Pramod R., Mellon, Synthia H., Flory, Janine D., Abu-Amara, Duna., Consortium, PTSD Systems Biology., Wolkowitz, Owen M., Yehuda, Rachel., Jett, Marti., Hood, Leroy., Marmar, Charles., (2019) , Mechanistic inferences on metabolic dysfunction in posttraumatic stress disorder from an integrated model and multiomic analysis: role of glucocorticoid receptor sensitivity , American Journal of Physiology-Endocrinology and Metabolism, American Physiological Society,317,5,E879-E898.
11 Somvanshi, Pramod R., Mellon, Synthia H., Flory, Janine D., Abu-Amara, Duna., Wolkowitz, Owen M., Yehuda, Rachel., Jett, Marti., Hood, Leroy., Marmar, Charles., Doyle, Francis J., (2019) , Mechanistic inferences on metabolic dysfunction in PTSD from an integrated model and multi-omic analysis: Role of glucocorticoid receptor sensitivity. , American journal of physiology. Endocrinology and metabolism, ,,,.
10 Somvanshi, Pramod R., Patel, Anilkumar K., Bhartiya, Sharad., Venkatesh, KV., (2016) , Influence of plasma macronutrient levels on hepatic metabolism: role of regulatory networks in homeostasis and disease states , RSC advances, Royal Society of Chemistry,6,17,14344-14371.
9 Somvanshi, Pramod R., Patel, Anilkumar K., Bhartiya, Sharad., Venkatesh, KV., (2015) , Implementation of integral feedback control in biological systems , Wiley Interdisciplinary Reviews: Systems Biology and Medicine, John Wiley & Sons, Inc. Hoboken, USA,7,5,301-316.
8 Somvanshi, Pramod Rajaram., Venkatesh, KV., (2014) , A conceptual review on systems biology in health and diseases: from biological networks to modern therapeutics , Systems and synthetic biology, Springer Netherlands,8,,99-116.
7 Mishra, Shekhar., Somvanshi, Pramod R., Venkatesh, KV., (2014) , Control of cholesterol homeostasis by entero-hepatic bile transport–the role of feedback mechanisms , RSC advances, Royal Society of Chemistry,4,103,58964-58975.
6 Somvanshi, Pramod R., Patel, Anilkumar K., Bhartiya, Sharad., Venkatesh, KV., (2013) , Analysis of Integrated Insulin-mTOR Signalling Network-Diabetes Perspective , IFAC Proceedings Volumes, Elsevier,46,31,143-148.
5 Somvanshi, PR., Venkatesh, KV., (2013) , Metabolic control analysis , Dubitzky W., Wolkenhauer O., Cho KH., Yokota H. (eds), Encyclopedia of Systems BiologyEncyclopedia of Systems Biology, Springer,,,1229-1233.
4 Somvanshi, PR., Venkatesh, KV., (2013) , Hill Equation , Dubitzky W., Wolkenhauer O., Cho KH., Yokota H. (eds), Encyclopedia of Systems BiologyEncyclopedia of Systems Biology, Springer, New York, NY,,,892-895.
3 Somvanshi P. R. and Venkatesh K.V. (2013) , Genetic Regulation: Mechanisms , Encyclopedia of Systems Biology,, Springer press,,,.
2 Somvanshi P. R., Patel A. K., Sharad Bhartiya and Venkatesh K.V. (2013) , Systems Biology: Modeling and Analysis of Biological Networks. , Recent trends in Biotechnology, Vol.4, Systems and Synthetic Biology,, Studium Press, USA,,,.
1 Somvanshi P. R. and Venkatesh K.V., (2013) , Genetic Regulatory Network: Structure and dynamics , Recent trends in Biotechnology, Vol.4, Systems and Synthetic Biology, Studium Press, USA,,,.