Ravi Saini
@ravisaini
Research Scientist specializing in ML/AI for Life Sciences
Greater Noida, U.P., India
Ravi Saini specializes in the microbial production of epirubicin using *Streptomyces* species. His research focuses on optimizing fermentation conditions through machine learning (ML) and response surface methodology (RSM) to maximize yield. He has experience developing and deploying ML models and integrating AI into life sciences research. He is also passionate about educating the next generation in ML and AI within the life sciences context.
Experience
Microbial Production of L-asparaginase
N/A
Isolated a fungal strain from waste food material and screened for L-Asparaginase enzyme, a processing aid in manufacturing food and also have anti-cancer properties. Later extracted the crude enzyme from the broth, lyophilized, and stored it.
Intern
NICPR (formally ICPO) (ICMR)
Completed work on various projects including Insilico study of cancerous compound using Machine learning, QSAR study, 2nd generation and 3rd generation anticancer drug Development, plant based anticancer compound, pharmacophore study.
Certification training course in Biotechnology and Clinical Trials
Simulanis
Successfully completed the course and got A grade in final assessment.
Trainee
ICPO
Worked on project entitled Docking and Virtual Screening Program.
Industrial Trainee
Great Value Foods
Performed hands-on work on Microbial Techniques, conducted QC test for company products and raw materials.
Education
IIT(BHU), Varanasi
Ph.D.
Biochemical Engineering
PrePhD done.
IIT(BHU), Varanasi
Master of Tech.
Biochemical Engineering
Dr. A. P. J. Abdul Kalam Technical University (Lucknow)
Bachelor of Tech.
Biotechnology
J.N.V.
Intermediate
PCMBE
J.N.V.
High School
N/A
Licenses & Certifications
Certification training course in Biotechnology and Clinical Trials
Simulanis