Krithika is a Data Scientist and has over 14 years professional work experience and combines her interdisciplinary skills in health data science, informatics and applied statistics for numerous projects. She applies her data science expertise to develop novel algorithms and analysis pipelines for clinical, genomic and expression profiling data management, quality control and integrative downstream analysis. Her research work also involves utilizing cloud computing/HPC for high throughput bioinformatic analysis of genome sequencing data and other omics data, machine learning, statistical analysis, probabilistic network analysis, and systems biology and pathway analysis.

• Applied data-driven approaches to explore the multi-dimensional landscape of infected lung tissue in coronavirus patients. This proof-of-concept study provides insights into the complex interactions between viral infection, immune response and the lung microbiome in connection with Long COVID. Article in Heliyon (June 2024) Bhuvaneswhar K et al
• Review article in Briefings in Bioinformatics summarizing existing knowledge derived from molecular and cellular data, and described challenges and areas of opportunities in this rapidly evolving field of mental health and neuroscience (March 2024). Bhuvaneswhar K et al. PMID: 38493340
• Publication in Nature Communications (Dec 2022) regarding a large scale consortium effort to develop a #federated learning approach for AI models based on #braincancer #imaging. PMID 36470898
• Publication in Nature Scientific Data (Sep 2022) titled 'Enhancing the REMBRANDT MRI brain cancer collection' . In this paper, we took raw #MRI scans from the REMBRANDT #braincancer collection, and performed volumetric #segmentation to identify subregions of the brain. #Radiomic features were then extracted to represent the MRIs in a #quantitative yet summarized format. Read more here: https://www.linkedin.com/feed/update/urn:li:activity:6942509381666181120/. Link to the paper: Sayah A, Bencheqroun C, Bhuvaneshwar K et al PMID 35701399
• Book chapter: Bioinformatics in Mental Health: Deriving Knowledge from Molecular and Cellular Data (Chapter 11). Bhuvaneswhar K et al. (2021)
• Publication on the second largest brain cancer collection in Nature Scientific Data (Aug 2018) titled 'The REMBRANDT study, a large collection of genomic data from brain cancer patients'. Gusev Y & Bhuvaneswhar K et al. PMID 30106394 Co-first authors
• Full list of publications: https://bit.ly/krithikab

• https://www.linkedin.com/in/krithikab/
• https://icbi.georgetown.edu/Bhuvaneshwar
• https://healthinformatics.georgetown.edu/faculty/

• bit.ly/krithikab