I am Dr. Rashmi Siddalingappa. I work at the intersection of machine learning, natural language processing, biomedical informatics, and space sciences, and I am currently a Lecturer in Computer & Data Science at York St John University, UK (since August 2024). I earned my Ph.D. in Computer Science from Bangalore University in 2018, where my thesis focused on phonetic and semantic analysis for NLP. After my doctorate I was awarded a National Postdoctoral Fellowship from the Science & Engineering Research Board (DST, India) and conducted postdoctoral research at the Indian Institute of Science (IISc),the top research institute in India, where I received 35,00,000 INR. I then joined West Virginia University as a postdoctoral fellow (Sep 2022–Jul 2024), where I contributed to NASA’s Living Wit
more...I am Dr. Rashmi Siddalingappa. I work at the intersection of machine learning, natural language processing, biomedical informatics, and space sciences, and I am currently a Lecturer in Computer & Data Science at York St John University, UK (since August 2024). I earned my Ph.D. in Computer Science from Bangalore University in 2018, where my thesis focused on phonetic and semantic analysis for NLP. After my doctorate I was awarded a National Postdoctoral Fellowship from the Science & Engineering Research Board (DST, India) and conducted postdoctoral research at the Indian Institute of Science (IISc),the top research institute in India, where I received 35,00,000 INR. I then joined West Virginia University as a postdoctoral fellow (Sep 2022–Jul 2024), where I contributed to NASA’s Living With a Star and NSF’s ANSWERS projects. These projects were a part of 2 major awards LWA from NASA and ANSWERS from NSF. I have secured external funding and awards (including a Physics-funded research award and national fellowship funding), participated in multi-institutional grants, and helped prepare competitive proposals.
My work spans precision medicine and cancer genomics, speech and phonetics for NLP, and predictive modeling in space weather. I have authored over 30 peer-reviewed journal papers and more than 24 conference papers, contributed book chapters, and have several manuscripts in-press or under review.
In teaching and academic leadership I have been a Module Director, supervised undergraduate and postgraduate dissertations, and designed curriculum and labs for undergraduate and postgraduate courses. I bring strong technical skills—including Python, TensorFlow/Keras, scikit-learn, NLTK, PRAAT and experience with speech and genomic datasets—and I combine rigorous research with student mentorship and curriculum development. I am passionate about translating AI and interdisciplinary research into real-world impact and mentoring the next generation of computer scientists.