Supervisor: Prof. I. King Jordan - Genetic ancestry and ethnic health disparities in the United Kingdom• Characterized the landscape of ethnic health disparities in the United Kingdom using data from the UK Biobank• Investigated the impact of genetic ancestry on health disparities between ethnic groups defined in the UK when adjusting for socioeconomic status using multivariable logistic regression models and observed a significant interaction between socioeconomic deprivation and genetic ancestry• Identified environmental exposures relevant for disease status that vary among ethnic groups using machine learning models like random forests- Population structure and pharmacogenomic risk stratification in the United States• Characterized the apportionment of pharmacogenomic variation in different population groups in the United States and compared them to objectively defined genetic ancestry groups• Found that population structure carries clinically actionable information about pharmacogenomic variants for an older cohort (aged 50 years or older)- Population pharmacogenomics for precision medicine in Colombia• Investigated population-level differences in two neighboring but genetically distinct populations from Colombia• Identified a number of pharmacogenomic variants with anomalous effect allele frequencies within and between the two populations – these were found to be associated with their distinct genetic profiles

Helped design and teach graduate courses on programming for bioinformatics focusing on shell and Python, a semester long course that simulates pathogenic outbreak investigations, and a project-based course on deriving insights from direct-to-consumer genotyping data

I TA for a graduate level programming class (7200) that focuses on Perl and Bash scripting.

Supervisor: Dr. Mathew Barber - A statistical method to identify better drug targets• Developed a statistical method to prioritize better drug targets with the combination of GWAS results and predicted functional relationships between genes• Aimed at improving existing GWAS augmentation approaches (set-based tests like GSEA)• Built on the Databricks platform (pySpark), the method was prototyped on data from large-scale biobanks like the UK Biobank and the Geisinger Health System cohort

Supervisor: Dr. Lavanya Rishishwar- Variant calling pipeline for fungal samples• Developed a turn-key variant calling pipeline for a group working with fungal samples at the Centers for Disease Control and Prevention (CDC)- Analysis pipeline for Pharmacogenomics report generation• Developed an end-to-end pipeline for annotating human gene panels for generating pharmacogenomic reports- Designed and taught a Python programming workforce development course• Designed and delivered a four-day introductory Python programming workforce development course

Supervisor: Dr. Robert R. Freimuth- Mobile PGx Results and CDS: Protecting Mayo Patients Worldwide• Worked on a pilot implementation of the Medication Safety Codes project that allows patients to carry personalized pharmacogenomics recommendations with them after they leave the Mayo Health System• Developed a URL encoding scheme that encodes more than 200% of the current capability to enable scalability of the mobile pharmacogenomics delivery system

Worked in the Jordan Lab, concentrating on Human Population Genomics-based projects. Developed pipelines and tools to aid analysis along with working on my own independent project that tries to connect ancestry with health in admixed Latin American populations.

Worked collaboratively to write short articles about technical issues encountered in the lab and in the world of biology, including protein expression, homology and more. Synthesized complicated topics into easy-to-understand guides for novice scientific audiences.

Worked in the Structural and Computational Biology Laboratory, primarily focussing on Protein-Protein Interaction Networks (PPINs). Initially assisted a PhD scholar for data acquisition, clean-up and analysis and later started working on an independent project that aimed to improve our understanding of bacterial stress response.Supervisor: Dr. Sonika Bhatnagar

Responsible for expressing, purifying and characterizing BAS1348, a LiaR homolog in Bacillus anthracis. Cellular localization of the protein was identified by confocal microscopy. Expression across growth phases was checked by Western Blotting. After purification, phosphotransfer assays were performed with small molecules and non-cognate histidine kinases - both in and across families. Putative binding sites were identified by in silico analysis and were validated using EMSA.Supervisor: Professor Rakesh Bhatnagar

Gathered expertise on molecular biology techniques such as RNA extraction, Reverse Transcription, PCR, electrophoretic techniques (agarose and PAGE), electroporation etc.I also worked on an ongoing project in the lab that dealt with identifying the role of a ferredoxin protein in heat shock response in Chalmydomonas reinhardtii.During this period, I also learnt tissue culture techniques while worked on a project that dealt with the rejuvenation of the Chinese Snow Lotus by callus culture to produce phytochemicals.Supervisor: Dr. Huang Li-Fen