Nafis Neehal is an accomplished Ph.D. candidate in the CS Department at Rensselaer Polytechnic Institute with over seven years of experience in the realms of Applied Machine Learning, Deep Learning, and Data Science. Proficient in Python and R , his technical skillset extends to encompassing major ML/DL libraries like Pytorch, Keras, Tensorflow, HuggingFace, cloud platforms like AWS, and tools/languages including SQL, PySpark for BigData, and Tableau among others. Nafis's career is marked by a deep engagement in developing and applying advanced computational models to real-world problems, particularly in healthcare. His research interests lie at the intersection of machine learning, causal inference, LLMs, generative AI, and healthcare, focusing on optimizing processes and outcomes through innovative data-driven approaches. Beyond his research, Nafis is also dedicated to education, having taught foundational computer science courses, authoring machine learning books, and showcasing his well-rounded expertise in technology and data analysis.

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