
Dr. Rajiv L Tiwari
Mentor & Scientist
- MS, PhD Stanford University
About Me
Dr. Rajiv L. Tiwari, MS, PhD, is a well established Research Scientist at the Stanford University
School of Medicine, where he specializes in clinical data science and stem cell biology. He
earned his PhD from the Central Drug Research Institute in Lucknow, India, and brings over a
decade of research experience across premier national and international institutions. His
academic and scientific journey reflects a deep commitment to advancing cutting-edge
biomedical research through interdisciplinary expertise.
Dr. Tiwari’s work centers on transformative fields such as cell and gene therapy,
immuno-oncology, and regenerative medicine. He has made significant contributions to
hematopoietic stem cell research and CAR-T cell therapy, with particular strengths in clinical
trial design, biomarker discovery, and translational science. His research portfolio includes
pioneering studies on skeletal muscle stem cells in tissue regeneration, the development of lipid
nanoparticle-based drug delivery platforms, and the integration of clinical and single-cell RNA
sequencing data to uncover novel therapeutic targets.
Renowned for his precision in scientific writing, data analysis, and collaborative research
execution, Dr. Tiwari has published extensively in high-impact scientific journals. His innovative
work continues to shape the future of personalized medicine and therapeutic development. As a
leader in biomedical research, he remains dedicated to driving scientific breakthroughs that
bridge the gap between laboratory discovery and clinical application.
Our Research Programs for High School Students
OUR RESEARCH
PROGRAMS

Emerging Research in STEM
Key Areas:- Neuroscience
- Cancer
- Nanotechnology
- Artifical Intelligence & Quantum Computing
- Computational Biology and Bioinformatics

Mini-Research Paper Program
Key Areas:- Neuroscience
- Cancer
- Nanotechnology
- Artifical Intelligence & Quantum Computing
- Computational Biology and Bioinformatics

Immersive Research Program
Key Areas:- Neuroscience
- Cancer
- Nanotechnology
- Artifical Intelligence & Quantum Computing
- Computational Biology and Bioinformatics