Dr  Rakesh Kumar Saroj

Room No. 34
School of Computational and Integrative Sciences (SC&IS)
Jawaharlal Nehru University
New Delhi - 110067, INDIA
ra*********@jnu.ac.in
+91 945****475

Academic Qualification

I
1. Banaras Hindu University, Varanasi, UP Ph.D. 12/2014 08/2018 Biostatistics
2. Banaras Hindu University, Varanasi, UP M.Sc. 08/2005 08/2007 Biostatistics
3. International Institute for Population Studies, Mumbai M.P.S. 06/2011 06/2013 Population Studies

Position held

• April 23-Present Working as Assistant Professor in SC&IS- Jawaharlal Nehru University, New Delhi.
• April 21 -Apri-23, Worked as Assistant Professor at Sikkim Manipal University, Gangtok –Sikkim.
• Aug 18–Aug 19 Worked as Research Fellow at Centre for Infectious Disease Research in Zambia (CIDRZ), Lusaka.

Publications

1. Mubiana-Mbewe, M., Bosomprah, S., Saroj, R.K. et al. (2023). Development and validation of a novel scale for antiretroviral therapy readiness among pregnant women in urban Zambia with newly diagnosed HIV infection. AIDS Research and Therapy, 20(1), 1-9.
2. Saroj, R. K., Yadav, P. K., Singh, R., & Chilyabanyama, O. (2022). Machine Learning Algorithms for understanding the determinants of under-five Mortality. BioData mining, 15(1), 1-22.
3. Saroj, R.K. et.al. (2022). Performance of Machine Learning Classifiers in Classifying Stunting among Under-Five Children in Zambia. Children, 9(7), 1082.
4. Saroj, R. K., & Anand, M. (2021). Environmental factors prediction in preterm birth using the comparison between logistic regression and decision tree methods: an exploratory analysis. Social Sciences & Humanities Open, 4(1), 100216.
5. Patel, K. K., Saroj, R. K., & Kumar, M. (2021). Prevalence and determinants of adverse pregnancy outcomes among women in India: A secondary data analysis. Indian Journal of Community Medicine: Official Publication of Indian Association of Preventive & Social Medicine, 46(3), 434.

Experience

Biostatistics, Survival Analysis, Machine Learning, and Data Science

Area of Specialization

Biostatistics, Machine Learning, Public Health, Survival Model

Membership of other Professional Associations

 Indian Society for Medical Statistics
 International Indian Statistical Association (IISA)
 Indian Society of Human Genetics
 The International Society for Environmental Information Sciences (ISEIS)

I am currently serving as an Assistant Professor at the School of Computational and Integrative Sciences, Jawaharlal
Nehru University, New Delhi.
I have worked as a prestigious Health Corps Fellow at the Centre for Infectious Disease Research in Zambia
(CIDRZ), Lusaka (2018-2019). I have earned my Ph.D. and M.Sc. in Health-Statistics from the Institute of
Medical Science, Banaras Hindu University (BHU).
With more than 10 years of teaching and research experience in epidemiology, biostatistics, and public health
fields. I have published various research articles in high-impact factor journals.
Currently, I am working on machine learning techniques for cancer research. My main research area is Survival Analysis, Multivariate data analysis, and Machine learning techniques.
Project (Ongoing):
• Working as Co-PI on the project entitled “Analysis of tumor characteristics and therapeutic strategies for β-hCG positive Breast Cancer Patients from Kerala using microfluidic organ-on-a-chip culture device”. Indian Council of Medical Research, New Delhi.
• Working as Co-PI on the project entitled “Surveillance of Foodborne Pathogens in North-East India”. Indian Council of Medical Research, New Delhi.