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Dr. Yasaman Rezvani

Dr. Yasaman Rezvani

Current Position: Scientist I, nChroma Bio

Previous Positions:

  • Bioinformatics Analyst II, AbbVie

Education:

  • Ph.D. in Computational Science - Bioinformatics Track, UMass Boston, 2023
  • Bachelor's degree, Computer Science, Azad University (IAU)

Research at MathBioLab: Development of novel analysis methods and algorithms for epigenetics and gene regulatory programs in apicomplexan parasites

Links: LinkedIn | Google Scholar

Biography

Dr. Yasaman Rezvani was a Ph.D. student and Research Assistant in the MathBioLab from 2018 to 2023, where she focused on developing innovative computational methods for analyzing omics data. Her dissertation, titled "Analytical Approaches for Identification of Transcriptional Regulatory Programs Driving Toxoplasma Gondii Cell Division and Virulence," combined mathematical and statistical models with machine learning techniques to explore epigenetics and gene regulatory programs in parasites.

After completing her Ph.D., Dr. Rezvani joined AbbVie as a Bioinformatics Analyst II and has recently moved to nChroma Bio as a Scientist I, where she continues her work in bioinformatics and computational biology.

Publications from MathBioLab

  1. Lou J, Rezvani Y, Arriojas A, Wu Y, Shankar N, Degras D, Keroack CD, Duraisingh MT, Zarringhalam K, Gubbels MJ (2024). "Single cell expression and chromatin accessibility of the Toxoplasma gondii lytic cycle identifies AP2XII-8 as an essential ribosome regulon driver." Nature Communications, 15(1), 7419.

  2. Zarringhalam K, Ye S, Lou J, Rezvani Y, Gubbels MJ (2023). "Cell cycle-regulated ApiAP2s and parasite development: the Toxoplasma paradigm." Current Opinion in Microbiology, 76, 102383.

  3. Lou J, Rezvani Y, Arriojas A, Degras D, Keroack CD, Duraisingh MT, Gubbels MJ, Zarringhalam K (2023). "Single cell expression and chromatin access of the Toxoplasma gondii lytic cycle identifies AP2XII-8 as an essential pivotal controller of a ribosome regulon." BioRXiv, 2023.10.06.561197.

  4. Elsworth B, Keroack C, Rezvani Y, Paul A, Barazorda K, Tennessen J, et al. (2023). "Babesia divergens egress from host cells is orchestrated by essential and druggable kinases and proteases." Research Square, rs.3.rs-2553721.

  5. Rezvani Y, Keroack CD, Elsworth B, Arriojas A, Gubbels MJ, Duraisingh MT, Zarringhalam K (2022). "Comparative single-cell transcriptional atlases of Babesia species reveal conserved and species-specific expression profiles." PLoS Biology, 20(9), e3001816.

  6. Primo VA Jr, Rezvani Y, Farrell A, Murphy CQ, Lou J, Vajdi A, Marth GT, Zarringhalam K, Gubbels MJ (2021). "The Extracellular Milieu of Toxoplasma's Lytic Cycle Drives Lab Adaptation, Primarily by Transcriptional Reprogramming." Msystems, 6(6), e01196-21.

Research Expertise

Dr. Rezvani's research expertise includes:

  • Development of bioinformatics pipelines for high-dimensional data analysis
  • Integration and visualization of complex biological datasets
  • Application of machine learning techniques to analyze NGS data
  • Computational analysis of epigenetics and gene regulatory programs
  • Single-cell transcriptomics and chromatin accessibility analysis