Aarthi is co-leading the efforts on establishing strategies for analyzing single-cell RNA sequencing data. She is involved in establishing an analytical framework that could be leveraged by a wide variety of scientists, both non-coders and coders. She is involved in establishing an unsupervised learning framework for analyzing high dimensional flow cytometry data in an unbiased and an objective manner. One of the major projects she is currently involved in, is understanding the transient changes in immune signaling responses in patients infected with SARS-CoV2 over a longitudinal time course starting from very early days since symptom onset. The major focus has been to understand and dissect the heterogeneity in immune responses over time that could be attributed to age, gender, comorbidities etc.