Karandeep started as a postdoctoral researcher in Alex Hall's group in November 2024. As a deep learning expert, he is driven by the opportunity to apply his skills to address real-world challenges and deliver societal benefits. His current research focuses on generating high-resolution climate data and predicting climate and weather events, both using AI techniques.

Before joining Alex's group, Karandeep worked as a senior researcher in machine learning at the Data Science Group, IBS, South Korea for five years. In collaboration with Axel Timmermann's group at the IBS Center for Climate Physics in Busan, he developed AI models to downscale paleo-climate data spanning 3 million years from 3.75° to 0.25° resolution. In IBS, he worked under Prof. Meeyoung Cha, covering topics such as climate modeling, fraud detection, social networks, and tabular data, employing a variety of machine learning techniques including computer vision, graph neural networks, large language models (LLMs), and tree-based approaches. Karandeep has published in top-tier conferences and journals, including KDD, IJCAI, CIKM, and TKDE.

Karandeep completed his Ph.D. at the Electronics and Telecommunications Research Institute (ETRI), South Korea, and MS from Panjab Engineering College (PEC), India.