Bio

Post-Doc Biological Engineering, MIT and MGH 2016-2019Ph.D. Electrical Engineering, Georgia Tech 2015M.S. Bioengineering, Georgia Tech 2013 & M.S. Electrical Engineering, U. Mass Amherst 2009B.S. Electrical Engineering, University of Tehran 2007
Sepideh Dolatshahi, PhD

"We develop new systems biology approaches to understand fundamental mechanisms of immune regulation and dysregulation, with an ultimate objective of identifying strategies to design and improve immunotherapies."

Sepideh Dolatshahi, PhD, Assistant Professor of Biomedical Engineering

Research in the Dolatshahi lab combines multiplex experimental measurements with computational methods (including statistical machine learning, network inference, information theory, signal processing and kinetic-dynamic modeling) to solve problems in the context of cancer, infectious disease and maternal-neonatal immunology.

The immune system is complex and ubiquitous. Numerous immune cell types either reside in a particular tissue or circulate throughout the body. Each cell type has its unique roles and approaches in sensing problems, communicating with other cells, and eliciting their immune functions. The Dolatshahi lab takes a systems approach to understand the interconnecting pathways that control immune responses spanning across multiple biological systems and scales.

This understanding will enable us to optimize immune responses to confront specific issues, ranging from infections to cancer. By building computational models and machine-learning strategies that integrate experimental data across various molecular and cellular scales, Dolatshahi laboratory seeks to: (1) ascertain how biophysical properties of the immune factors (defined as their subclass and post-translational modifications) determine their function, (2) uncover mechanisms responsible for dysregulation of these properties in disease states, and (3) use this knowledge to guide biomarkers for early disease diagnosis, patient stratification and optimized immunotherapies. Another key step in translational immunotherapies is the design of maximally informative animal studies for reliable prediction of the outcome in humans. To this end, Dolatshahi lab also (4) creates predictive computational transfer functions to relate mechanistic models of cellular processes in animals to those in humans. Such functions will enable inter-species translation of molecules to phenotypes. 

Dr. Dolatshahi joins the Department of Biomedical Engineering as Assistant Professor on January 1, 2020.  Her lab is looking for talented, enthusiastic and diverse members to join their efforts. The lab’s priority is to provide training to highly motivated engineers and scientists who tackle real-world problems that closely impact people’s lives - and to have fun while doing so!  Prospective graduate students are encouraged to contact her via her MIT email through the end of December: sepideh@mit.edu.  In January, her UVA email will become active.

Research Interests

  • Systems Immunology
  • Cancer Systems Biology
  • Infectious Diseases
  • Neonatal and Maternal Immunology
  • Computational Systems Biology
  • Biomedical Data Sciences

In the News

Selected Publications

  • Dissecting the Dynamics of N-linked Glycosylation in Fed-batch Cultures of Chinese Hamster Ovary Cells through Time Course Omics Analyses iScience 2019 | M. Sumit, S. Dolatshahi , A. Chu, K. Cote, J. Scarcelli, J. Marshall, R. Cornell, R. Weiss, D Lauffenburger, B. Figureoa, B.C. Mulukutla
  • Fc glycan-mediated regulation of placental antibody transfer Cell 2019 | M.F. Jennewein, Goldfarb, Dolatshahi, Cosgrove, Noelette, Krykbaeva, Das, Gorman, Fischinger, Boudreau, Brown, Cooperrider, Aneja, Suscovich, Lauer, Lauffenburger, Kim, Riley*, L.E. Riley*, G. Alter*
  • Identification of Metabolic Pathway Systems Frontiers in Genetics 2016 | S. Dolatshahi, E.O. Voit
  • New Insights into the Complex Regulation of the Glycolytic Pathway in Lactococcus lactis: I. Construction and diagnosis of a comprehensive dynamic model Molecular Biosystems 2016 | S. Dolatshahi , L.L. Fonseca, E.O. Voit
  • New Insights into the Complex Regulation of the Glycolytic Pathway in Lactococcus lactis: II. Inference of the precisely timed control system regulating glycolysis Molecular Biosystems 2016 | S. Dolatshahi , L.L. Fonseca, and E.O. Voit
  • A Constrained Wavelet Smoother for Pathway Identification Tasks in Systems Biology Computers and Chemical Engineering 2014 | S. Dolatshahi, A. Polak, D. Goeckel