Dr. Alka Yadav

Dr. Alka Yadav is an Assistant Professor (Senior Scale) at the School of Computer Science at UPES, Dehradun, holding a Ph.D. from Jawaharlal Nehru University in collaboration with Chennai Mathematical Institute.

Her research integrates Data Science, Climate Dynamics, and Computational Modeling to analyze large-scale environmental and geophysical systems, supported by strong expertise in statistical modeling, machine learning, and time-series analysis.

She has contributed to academia and industry as a Data Scientist and mentor, with publications and presentations at global platforms, and is committed to interdisciplinary research, ethical innovation, and nurturing future scientists and engineers.

Dr. Alka Yadav has diverse academic and industry experience, serving as Assistant Professor (Senior Scale) at UPES, Visiting Faculty at Bennett University, and Data Scientist & Manager of Learning at the Sabudh Foundation.

She has also worked as a Data Analytics Consultant with AlgoLabs and Chennai Mathematical Institute, contributing to teaching, mentoring, and developing data-driven solutions for socially impactful research initiatives.

Ph.D., Jawaharlal Nehru University (in collaboration with Chennai Mathematical Institute).

Climate Data Analytics, Machine Learning for Earth Systems, Complex Systems, Environmental Modeling, Time-Series Analysis, Causal Inference, Statistical Modeling, AI for Social Good.

Dr. Yadav emphasizes strong conceptual foundations combined with curiosity-driven analytical thinking, connecting theoretical concepts with real-world applications through hands-on learning and data exploration.

She fosters a collaborative and inquiry-driven classroom environment that encourages critical thinking, scientific reasoning, and holistic learning beyond traditional settings.

Recipient of the INSPIRE Fellowship from the Department of Science and Technology, Government of India, and Best Talk Award at ClimFishCon-2020 for research on Arctic Sea Ice and Climate Variability.

Selected for prestigious fully funded programs and workshops at ICTS-TIFR, International Centre for Theoretical Physics (ICTP), AGU Conferences, and Boston University.

Physics for Computer Engineering/Scientists, Probability, Entropy and MC Simulations, Discrete Mathematical Structures, Statistics and Data Analysis, Data Science, Machine Learning, R/Python for Data Analysis and Visualization, AI & Analytics.

Dr. Yadav has published research in reputed Scopus and Web of Science indexed journals including Physica A, Statistics and Applications, and Indian Journal of Theoretical Physics.

Her work contributes to understanding climate variability, causal relationships in atmospheric systems, and large-scale environmental dynamics.

She has presented at international platforms such as the American Geophysical Union Fall Meeting, New England Statistics Symposium, ICTS-TIFR workshops, and the French Institute of Pondicherry, while also mentoring and contributing to AI-for-social-good initiatives.

alka.yadav@ddn.upes.ac.in