Sreenidhi Sankararaman, B.S.

Summary

Sreenidhi Sankararaman is a postbaccalaureate IRTA fellow in the Grayson Lab. She graduated from Johns Hopkins University, where she was a Hodson Trust Scholar, earning a B.S. in Biomedical Engineering with a focus on translational cell and tissue engineering. Sreenidhi grew up in Herndon, VA, and attended Thomas Jefferson High School for Science and Technology (TJHSST), concentrating on biotechnology.

Sreenidhi is passionate about bridging biological discoveries with technological advancements to further medical accessibility, especially for overlooked populations. She plans to attend medical school following her time at NIAMS. 

Research Statement

Sreenidhi researches rare autoimmune vasculitis and corresponding biological therapies. Her project examines the ideal patient demographics for these therapies targeting conditions such as Takayasu’s arteritis. She analyzes clinical data to identify patterns in treatment efficacy, supporting her research findings.

In the past, while at Hopkins, she studied knockout gene models to address Parkinson’s and genes associated with dermatologic conditions, such as prurigo nodularis. Additionally, as part of her Biomedical Engineering Design Team, she innovated algorithms to correct for bias in pulse oximeters and estimate intracranial waveforms non-invasively for traumatic brain injury patients. In addition, her previous experiences at the NIH included studying protein conservation and negative RNA imaging systems for viral progressions.

Scientific Publications

Single-Cell RNA Sequencing Reveals Dysregulated POSTN+WNT5A+ Fibroblast Subclusters in Prurigo Nodularis.

Patel JR, Joel MZ, Lee KK, Kambala A, Cornman H, Oladipo O, Taylor M, Imo BU, Ma EZ, Manjunath J, Kollhoff AL, Deng J, Parthasarathy V, Cravero K, Marani M, Szeto M, Zhao R, Sankararaman S, Li R, Henry S, Pritchard T, Rebecca V, Kwatra MM, Ho WJ, Dong X, Kang S, Kwatra SG
J Invest Dermatol.
2024 Jul;
144(7).
doi: 10.1016/j.jid.2023.12.021
PMID: 38246584

Active site prediction of phosphorylated SARS-CoV-2 N-Protein using molecular simulation.

Sankararaman S, Hamre J 3rd, Almsned F, Aljouie A, Bokhari Y, Alawwad M, Alomair L, Jafri MS
Inform Med Unlocked.
2022;
29().
doi: 10.1016/j.imu.2022.100889
PMID: 35224174

Evaluating Ovarian Cancer Chemotherapy Response Using Gene Expression Data and Machine Learning.

Amniouel S, Yalamanchili K, Sankararaman S, Jafri MS
BioMedInformatics.
2024 Jun;
4(2).
doi: 10.3390/biomedinformatics4020077
PMID: 39149564

A deep learning approach for generating intracranial pressure waveforms from extracranial signals routinely measured in the intensive care unit.

Nair SS, Guo A, Boen J, Aggarwal A, Chahal O, Tandon A, Patel M, Sankararaman S, Durr NJ, Azad TD, Pirracchio R, Stevens RD
Comput Biol Med.
2024 Jul;
177().
doi: 10.1016/j.compbiomed.2024.108677
PMID: 38833800

Education

Johns Hopkins University 
B.S. in Biomedical Engineering (2021-2025)

Experience

IRTA Postbac Fellowship 
NIAMS (2025) 

NIH Summer Intern (x3) 
NIH (2021, 2022, 2023)

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