About

Shikhar Vashishth is a highly accomplished Postdoctoral Researcher at Microsoft Research, with a strong background in Natural Language Processing (NLP) and Artificial Intelligence (AI). He completed his Ph.D. in Computer Science from the Indian Institute of Science (IISC) under the guidance of renowned researchers Partha Pratim Talukdar, Chiranjib Bhattacharyya, and Manaal Faruqui. His thesis topic was on Neural Graph Embedding Methods for Natural Language Processing, which earned him the prestigious ACM India Doctoral Dissertation Award and Google PhD Fellowship during his Ph.D. He has also interned at Google Research and Microsoft, gaining valuable experience in the industry. Prior to joining Microsoft, Shikhar worked as a Postdoctoral Researcher at Carnegie Mellon University, where he focused on Information Extraction in the biomedical domain. He has published several research papers in top-tier conferences and journals, including ACL, EMNLP, and NAACL, and his work has been well-received in the NLP community. He has also examined the interpretability of attention mechanisms in NLP during his internship at Google Research. Shikhar's educational background includes a Bachelor's degree in Information Systems from Birla Institute of Technology and Science, Pilani, and a Master's degree and Ph.D. in Computer Science from IISC. He has a strong technical skill set, including expertise in NLP, AI, and research methodology. He is a Research Scientist with nearly three years of relevant industry experience, and he is highly motivated to continue exploring new research directions in NLP and AI. Overall, Shikhar Vashishth is a talented and accomplished researcher with a passion for advancing the field of NLP and AI. He has a proven track record of success, and his expertise and experience make him a valuable asset to any research team.