AI
Institute of Technology, BHU
Natural Language Processing Fundamentals: Understanding Human Language with AI
October 14, 2025-October 16, 2025Introduction to Data Mining & Warehousing
October 21, 2025-April 23, 2025
Mentor At NSTC
Introduction to Data Mining & Warehousing
November 26, 2025-November 28, 2025Cost-Aware AI Training & Inference (ML FinOps)
-Regulatory Compliance with Generative AI
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Empowering the next generation of Physician-Leaders in Biotech and Pharmacovigilance.
With over a decade of experience across the pharmaceutical lifecycle—at industry leaders like Regeneron, UCB, and Pfizer—I specialize in bridging the gap between clinical practice and global drug safety strategy. My expertise spans from the high-stakes environment of First-in-Human and Late phase trials to navigating complex regulatory interactions with the FDA and EMA.
I can mentor you on:
Technical Mastery: Understanding signal detection, Risk Management Plans (RMP), and the nuances of safety strategies within clinical development
Regulatory Navigation: Mastering the art of Scientific Advice meetings and marketing authorization submissions.
Strategic Leadership: Transitioning from clinical roles to industry, managing high-level global alliances, and leading effectively within matrix organizations.
I am passionate about helping mentees develop the strategic mindset and technical precision required to safeguard patient health on a global scale.
Dr. M. Prasad is a Professor in the Department of Computer Science & Engineering at Shri Vishnu Engineering College for Women (Autonomous), Bhimavaram, Andhra Pradesh. With 18+ years of teaching experience, including two years of international teaching in Ethiopia, he has guided 35+ UG/PG projects and currently supervises research scholars. A Google Android Educator, he conducts training on Google products across India and has mentored 150+ Google Certified Student Experts. He has published and presented 45+ research papers, organized 20+ academic events, and is a professional member of bodies including IEEE, ISTE, and CSI. His interests include ML, data mining, cloud, Android (Kotlin), MANETs, security, IoT, and visual analytics.
Sneh Lata is a Senior Research Fellow at the CSIR-Indian Institute of Toxicology Research, specialising in developing advanced analytical methods for environmental and biological samples. She holds a Master of Science in Forensic Science from the University of Delhi. She has extensive experience utilising sophisticated analytical instruments such as LC-MS/MS, GC-MS/MS, and ICP-OES. Her research focuses on wastewater remediation, heavy metals, and pesticide analysis, with a strong background in metabolomics and structure elucidation of plant molecules. She is a member of the Society of Toxicology (SOT) and the American Chemical Society (ACS). She has published several articles while actively participating in international conferences, sharing her nanotechnology and environmental science expertise.
Dr. Anupriya Rana was working as “Scientist B” in the department of Patanjali Herbal Research Division, Patanjali Research Foundation, Haridwar, India. She received her Ph.D. Degree in Botany (Nanotechnology) from Gyan Vihar University, Jaipur in 2024. She has been an alumna of University of Delhi, Gargi College, 2016 batch and received an academic silver medal in her Masters in 2018. She had more than 6 years of research (Scientist B, Research Associate and DST Research Fellow) and academic experience. Her specialization is in Plant Nanotechnological research, Project coordination, Agri-Product Marketing, botanical studies, plant morphophysiological stress and mutations, Plant tissue culture and Biosynthesis. She has published 4 original articles and 1 book chapter.
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Dr. Shubham Jaju is a Professor in the Department of Pharmacology at the Osmania Medical College, Hyderabad, Telangana. He received his MD degree in 2023 from Kaloji Narayana Rao University. Then, he worked as a Senior Resident in Osmania Medical College for a year. He is having 4 years of experience in the field of Pharmacology. His area of expertise includes Clinical Pharmacology, Pharmacotherapeutics, Research and Clinical Trials and Drug Safety. He is the author of several scientific articles.
Dr. Ali H. Wheeb is a Professor in the Computer Engineering College of Engineering at the University of Baghdad. He earned his PhD in Electrical and Electronic Engineering (2024) from UKM University and brings 10 years of experience in computer engineering along with 16 years in academia. His expertise spans computer engineering and networking, UAV systems, UAV routing protocols, and machine learning, including reinforcement learning. He has published widely and has received research grants and awards.
Dr. Md Afroz Alam is a Professor and Head in the Department of Bioinformatics, at Shalom New Life College, Bengaluru, Karnataka. He received his Ph.D. Degree in Bioinformatics from Jaypee University of Information Technology, Solan, Himachal Pradesh in 2009. Then he has worked as Assistant Professor, Head and Program Coordinator in the Department of Bioinformatics at Karunya Institute of Technology and Sciences (Deemed University) for 11 Years. He is having 14 years of teaching and research experience in the field of Bioinformatics. His area of expertise includes: Computer Aided Drug Design, Molecular Modeling and Simulation, QSAR and Pharmacophore modeling, Biostatistics, R programming, Unix and Linux. He is the author of 24 research articles, 2 Book Chapter, recipient of short-term research grants, workshop grants, and National Youth leader award by Ministry of Youth Affairs and Sports under the National Service Scheme, Government of India.
A motivated, detail-oriented Data Science enthusiast with hands-on experience building and deploying machine learning and NLP solutions. Proficient in Python, data preprocessing, and model optimization, with a focus on turning complex data into actionable insights. Experienced in creating interactive Streamlit dashboards to showcase AI applications clearly and effectively. Currently seeking an internship or entry-level role in Data Science or AI Engineering to contribute analytical thinking, creative problem-solving, and strong collaboration skills in an innovation-driven team.
Dr. Rini Chaturvedi is a DST Inspire Faculty in the Department of Microbiology at the All India Institute of Medical Sciences, New Delhi. She received her Ph.D. Degree in Structural parasitology from ICGEB, New Delhi University in 2021 and earned her postdoctoral from university of ICGEB, New Delhi. She is having 13 Years of Experience in the field of Molecular medicine. Her Area of Expertise includes: Structural Parasitology, Drug Discovery, Public Health, Immunology, epigenetics. She is the author of 21 research articles, DST INSPIRE Faculty grant recipient, Young Scientist award, etc.
Dr Harishchander Anandaram is an Assistant Professor at Centre for Excellence in Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu, India. He received his Ph.D. Degree in Bioengineering from Sathyabama Institute of Science and Technology, Chennai, in 2020. In his PhD thesis, he worked on pharmacogenomics and miRNA- regulated networks in psoriasis, a joint project with Georgetown University, USA, JIPMER, INDIA, CIBA, INDIA, and ILS, INDIA. His thesis illustrated a multi-disciplinary approach by combining computational biophysics and molecular biology machine learning. Also, he had the opportunity to collaborate with international researchers and have publications in reputed international journals in bioinformatics and systems biology simultaneously. He has received the prestigious “Young Scientist Award” from “The Melinda Gates Foundation” for his research abstract on “The Implications of miRNA Dynamics in Infectious Diseases”. To date, he has reviewed more than 200 manuscripts in systems biology. He is currently working on predicting Novel lead molecules and biomarkers using computational techniques to target inflammatory pathways associated with infectious and autoimmune disorders.