Shrinivas lab

Chemical & Biological Engineering , Northwestern University

Adapted from original art of David Goodsell

Vision

The lab’s vision is to understand and engineer how life works at the molecular and cellular scales. The functions of life emerge from dynamic interactions amongst billions of biomolecules that self-organize in a crowded and squishy cellular environment. We thus adopt an interdisciplinary approach - bridging ideas across biophysics, chemistry, computer science, and engineering to decipher fundamental scientific mechanisms while also pursuing translational applications to impact human health. This approach is bolstered by our extensive local ties (NU Medical School, Applied Math, Center for Synthetic Biology, National Institute for Theory and Math in Biology) and broader collaborations with scientists across the country. Towards and beyond the science, we believe in fostering an environment that supports the well-being and success of all members.

If you are interested in learning more - check out our research, papers, or open positions.

Latest news

Jan 01, 2026 We welcome the new year with few perspective pieces that Krishna contributed to - high-dimensional theories in biology, a roadmap for condensate biophysics, and a short commentary on beautiful work on biochemical computation from our colleagues down the road!
Nov 11, 2025 Krishna shared the lab’s ongoing research at Princeton and CUNY. One seminar was to the awesome Princeton Phase Group community (thanks to Prof. Jerelle Joseph for hosting) of condensate enthusiasts. The second was part of the excellent symposia on nanoscale events in gene expression with super engaging talks (thanks to Profs. Bill Bialek and Thomas Gregor for hosting and organizing)!
Oct 06, 2025 The lab’s paper on a physics-centered machine-learning framework to design shape-shifting molecules called intrinsically disordered proteins is published in Nature Computational Science, along with accompanying coverage from Northwestern and Harvard University!

selected publications

  1. Generalized design of sequence-ensemble-function relationships for intrinsically disordered proteins
    Ryan Krueger, Michael P Brennerc, and Krishna Shrinivasc
  2. Information processing driven by multicomponent surface condensates
    Aidan Zentner, Ethan V Halingstad, Cameron Chalk, Michael P BrennerArvind MuruganErik Winfree, and Krishna Shrinivasc
  3. Immiscible proteins compete for RNA binding to order condensate layers
    Wilton T. Sneadc, Mary K. Skillicorn, Krishna Shrinivasc, and Amy S. Gladfelterc