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Rakesh Kumar Saroj

Rakesh Kumar Saroj
Rakesh Kumar Saroj
Assistant Professor
Centre/School/Special Centre
School of Computational and Integrative Sciences
Room No
34
Off. Phone
011-2670-4726
Residence
+91-9454196475
Email
rakeshsaroj[at]mail[dot]jnu[dot]ac[dot]in, rakeshsaroj[at]jnu[dot]ac[dot]in
Personal Webpage
https://jnu.ac.in
Qualifications

M.Sc. and Ph.D. in Biostatistics from the Institute of Medical Sciences-Banaras Hindu University.

Areas of Interest/Specialization
  • Biostatistics, Survival Analysis, Competing Risk and Multivariate Analysis,
  • Machine Learning
  • Epidemiology and Public Health
  • Research Methodology
Experience

April 2023 – Present: Assistant Professor, Jawaharlal Nehru University, New Delhi, India.

Research/Teaching Experience: More than 10 Years

Awards & Honours

Editorial board Member: 

• Perinatal Journal (©Elsevier)

• Health Informatics Journal (by SAGE Publications)

• Social Sciences & Humanities Open access (©Elsevier

 

  • Resource Person, Lecture Series-cum-Workshop on Machine Learning Applications in Health Data, International Institute for Population Sciences, 22–26 September 2025.

  • Invited Talk “Learning with Logic: How Statistics Shapes Machine Learning”, Webinar & Workshop on Data Analytics with Mathematical Statistics, D. Y. Patil International University, 30 August 2025.

  • Invited Talk “Data Science: From Statistics to Smart Decisions & Careers”, School of ICT, Gautam Buddha University, 22 August 2025.

  • Delivered expert sessions on Bias in Information Collection, Procedural Bias Elimination, Reliability & Validity, and Systematic Review & Meta-Analysis, National Institute of Health and Family Welfare, 21 August 2025.

  • Invited as a Resource Person for the workshop on the Application of Artificial Intelligence in Health Research organized by the Directorate of Research-Sikkim Manipal University,16th - 18th Feb 2023.

  • Invited as a Resource Person for Taking Classes in R Statistical Software for the Seven Days Capacity Building Program on Teaching and Research Organized by the Department of Economics, Christ University, Bangalore,18th July – 25th July 2022.

  • Speaker for 1st International Science Diplomacy Awareness Workshop organized by Scientists for Science Diplomacy Initiative with NRC in Egypt and The Japan Society for the Promotion of Science (JSPS), 20-22 March 2021.

  • The CODATA-RDA online Research Data Science Summer School from 31st August-11th September- 2020, at The Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy.

  • Invited lecture for ICSSSR sponsored ten days Research Methodology course organized by the Department of Management, Sikkim University from 14-23 September 2020, Gangtok.

  • Guest speaker for an international webinar on “COVID-19 crisis and the sustainable development goals: Rule of the science & Health challenges” collaborating with NRC in Egypt and The Japan Society for the Promotion of Science (JSPS), 9-13 August 2020.

  • Judging Panelist - Data Science in Healthcare and Data Science in the Public Sector, 2019, 2020 at Data Science Foundation, Greater Manchester, U.K.

  • Travel Grant Award for Workshop on Quantitative Methods for Public Health Researchers of the SAARC Countries, Organized by International Statistical Institute at Kolkata University,16.

 

International Collaboration/Consultancy

Project (Ongoing):

  • Working as PI on the project entitled “Prediction Models and Associated Factors on the Low Fertility in Sikkim”, Indian Council of Social Science Research (Ministry of Education, Govt. of India), New Delhi.

  • 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.

Best Peer Reviewed Publications

  • Characterizing acute and chronic care needs: insights from the Global Burden of Disease Study 2019." Nature Communications 16, no. 1 (2025): 4235. 

    Saroj, R. K., Bhutia, J. L., & Upreti, B. (2025). Exploring the incidence and time to onset of side effects associated with the COVID-19 vaccine. Discover Social Science and Health, 5(1), 134.

  • Saroj, Rakesh Kumar, and Kanchan Yadav. "Prediction and Classification Machine Learning Models in Diabetic Studies." Socio-Scientific Interaction in Diabetes and Cancer and Its Management (2023): 147. (Book Chapter).

  • 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.

  • Saroj, R.K. et.al. (2022). Performance of Machine Learning Classifiers in Classifying Stunting among Under-Five Children in Zambia. Children, 9(7), 1082.

  • 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.

  • Saroj, R. K., Murthy, K. N., Kumar, M., Bhattacharjee, A., & Patel, K. K. (2021). Bayesian competing risk analysis: An application to nasopharyngeal carcinoma patients’ data. Computational and Systems Oncology, 1(1), e1006.

  • Kumar, M., Sonker, P. K., Saroj, A., Jain, A., Bhattacharjee, A., & Saroj, R. K. (2020). Parametric survival analysis using R: Illustration with lung cancer data. Cancer Reports, 3(4), e1210.

  • Anand, M., Singh, L., Saroj, R., & Taneja, A. (2016). Dichlorodiphenyltrichloroethane and hexachlorocyclohexane exposure through the environment and risk of preterm birth: Indian scenario. Toxicology Letters, (258), S185.

Recent Peer Reviewed Journals/Books

  • Characterizing acute and chronic care needs: insights from the Global Burden of Disease Study 2019." Nature Communications 16, no. 1 (2025): 4235. 

    Saroj, R. K., Bhutia, J. L., & Upreti, B. (2025). Exploring the incidence and time to onset of side effects associated with the COVID-19 vaccine. Discover Social Science and Health, 5(1), 134.

  • Saroj, Rakesh Kumar, and Kanchan Yadav. "Prediction and Classification Machine Learning Models in Diabetic Studies." Socio-Scientific Interaction in Diabetes and Cancer and Its Management (2023): 147. (Book Chapter).
  • 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.

  • 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.

  • 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.

Patents (if any)

NA