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Focused on deep generative modeling of data (platelet transcriptome) to attain a gene(translatable gene signature) which is common across different types of diseases
Stanford Genomics Cluster: Worked on a project with Dr. Anandi Krishnan to study and identify progressive markers, in
blood platelets, which can help in detecting chronic Myeloproliferative Neoplasms (a class
of blood cancer) through time series analysis of mRNA-seq data of patients
Responsible for devising projects for Distributed Systems course mainly focused on 60+
students and managing their queries.
Researched at the Massive Open Online Courses Lab for development with the IITBombayX team, for Swayam initiative (free online education in India). Integrated the APIs with the IITBombayX server across 203 partnering institutes
Coursework: Thesis – Integrative Clinical and Bio-Mechanical Features Predict In-Hospital Trauma Mortality Machine Learning, Computer Vision, Math Foundations of Data Science, Databases for Data ScienceIntroduction to Artificial Intelligence, Data Structures and Algorithms
Coursework: Artificial Intelligence and Expert Systems, Neural Networks and Fuzzy Logic, Data Mining and Warehousing, Discrete Structures, Applied Mathematics
The School of Graduate Studies recognizes the notable achievements of graduate students, faculty, and staff at the annual Merit and Achievement Awards Ceremony. These awards recognize important accomplishments in research and scholarship, teaching and mentoring, leadership, outreach, and service across all disciplines, through Chancellor-level affiliations, and within specific disciplinary clusters.
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Poster selected for Presentation: “Integrative Clinical and Bio-mechanical Features Predict In-Hospital Trauma Mortality" under the guidance of my thesis mentor, Dr. Anandi Krishnan, and in collaboration with Dr. Valerie Tutwiler, and Andrew Gosselin, at the 51st Annual Philadelphia Workshop on Hemostasis, Thrombosis, and Atherosclerosis organized by the Children's Hospital of Philadelphia, on 15th November, 2023.
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Recognized for contribution towards Accenture winning CIO 100 Awards FY 21-22
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