Rajan

Ph.D Scholar
School of Interdisciplinary Research (SIRe),
Indian Institute of Technology Delhi,
New Delhi, India

Education

PhD Interdisciplinary Research
Indian Institute of Technology Delhi, India
Jul 2024 - Present

MSc Zoology
University of Delhi, India
Aug 2019 - Jul 2021

  • Dissertation: Genomic heterogeneity in Mycobacterium canettii and the emergence of Mycobacterium tuberculosis complex.

BSc Life Science
University of Delhi, India
Jul 2016 - Jun 2019

Experience

Data Analyst
Indian Institute of Technology Delhi, India
May 2023 - Mar 2024 (11 Months)

  • Established pipelines for somatic and germline variant calling using exome sequencing data.
  • Analyzed ECG and PPG signal data from smartwatches for machine learning applications.

Project Associate - I
CSIR-Institute of genomics and Integrative Biology, India
Dec 2021 - Mar 2023 (1 Year 4 Months)

  • Developed k-mer based method, leveraging machine learning algorithms, to identify and classify SARS-CoV-2 variants of concern (VOCs) from whole genome sequencing data.

Project Trainee
Department of Zoology, University of Delhi, India
Aug 2021 - Nov 2021 (4 Months)

  • Analyzed antimicrobial resistance (AMR) patterns across various Mycobacterium species through comparative genomics approach.

Publications

  1. Birla, M., Rajan, Roy, P. G., Gupta, I., & Malik, P. S. (2024). Integrating AI-driven Wearable Technology in Oncology Decision Making: A Narrative Review. Oncology. https://doi.org/10.1159/000540494

  2. Rawat, A., Rajan, Malhi, H. K., & Chaudhary, K. (2023). Artificial intelligence using multiomics/genetic tools and application in liver disease. In Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases (pp. 109–131). Elsevier. https://doi.org/10.1016/b978-0-323-99136-0.00015-5

  3. Sharma, V., Singh, A., Gaur, M., Rawat, D., Yadav, A., Rajan, Kumar, C., Varma-Basil, M., Lohiya, S., Khanna, V., Khanna, A., Chaudhry, A., Singh, Y., & Misra, R. (2022). Evaluating the efficacy of stool sample on Xpert MTB/RIF Ultra and its comparison with other sample types by meta-analysis for TB Diagnostics. European Journal of Clinical Microbiology & Infectious Diseases. https://doi.org/10.1007/s10096-022-04449-w

Contact

Email: rajanbit.email@gmail.com

Social Profiles: LinkedIn GitHub

Research Profiles: Google Scholar