Sergei Maslov

Professor in Bioengineering


Sergei Maslov

Primary Research Area

  • Biological Physics
3406 Institute for Genomic Biology

For more information


  • American Institute for Medical and Biological Engineering (AIMBE) fellow (2021)

Selected Articles in Journals

  • Wang Z, Goyal A, Dubinkina V, George AB, Wang T, Fridman Y, Maslov S. Complementary resource preferences spontaneously emerge in diauxic microbial communities. bioRxiv. 2021 March 16.
  • Tkachenko AV, Maslov S, Wang T, Elbanna A, Wong GN, Goldenfeld N. How dynamic social activity shapes an epidemic: waves, plateaus, and endemic state. arXiv preprint arXiv:2101.12275. 2021 Jan 28.
  • King WP, Amos J, Azer M, Baker D, Bashir R, Best C, Bethke E, Boppart SA, Bralts E, Corey RM, Dietkus R. Durack, Gary, Elbel, Stefan, Elliott, Greg, Fava, Jake, Goldenfeld, Nigel, Goldstein, Molly H., Hayes, Courtney, Herndon, Nicole, Jamison, Shandra, Johnson, Blake, Johnson, Harley, Johnson, Mark, Kolaczynski, John, Lee, Tonghun, Maslov, Sergei, McGregor, Davis J., Milner, Derek, Moller, Ralf, Mosley, Jonathan, Musser, Andy, Newberger, Max, Null, David, O’Bryan, Lucas, Oelze, Michael, O’Leary, Jerry, Pagano, Alex, Philpott, Michael, Pianfetti, Brian, Pille, Alex, Pizzuto, Luca, Ricconi, Brian, Rubessa, Marcello, Rylowicz, Sam, Shipley, Clifford, Singer, Andrew C., Stewart, Brian, Switzky, Rachel, Tawfick, Sameh, Wheeler, Matthew, White, Karen, Widloski, Evan M., Wood, Eric, Wood, Charles and Wooldridge, Abigail R. Emergency ventilator for COVID-19. PLoS One. 2020 Dec 30;15(12):e0244963.
  • Tkachenko AV, Maslov S, Elbanna A, Wong GN, Weiner ZJ, Goldenfeld N. Time-dependent heterogeneity leads to transient suppression of the COVID-19 epidemic, not herd immunity. medRxiv. 2020 July 19:2020-07. PNAS accepted for publication.
  • Wong GN, Weiner ZJ, Tkachenko AV, Elbanna A, Maslov S, Goldenfeld N. Modeling COVID-19 dynamics in Illinois under nonpharmaceutical interventions. Physical Review X. 2020 Nov 16;10(4):041033
  • Kudella PW, Tkachenko AV, Salditt A, Maslov S, Braun D. Structured sequences emerge from random pool when replicated by templated ligation. Proceedings of the National Academy of Sciences. 2021 Feb 23;118(8).
  • Goyal, A., Wang, T., Dubinkina, V. , Maslov S. Ecology-guided prediction of cross-feeding interactions in the human gut microbiome. Nat Commun 12, 1335 (2021).
  • Tkachenko AV & Maslov S (2015) Spontaneous emergence of autocatalytic information-coding polymers. J Chem Phys 143(4):045102.
  • Maslov S & Sneppen K (2015) Well-temperate phage: optimal bet-hedging against local environmental collapses. Sci Rep 5:10523.
  • Maslov S & Sneppen K (2015) Diversity Waves in Collapse-Driven Population Dynamics. PLoS Comput Biol 11(9):e1004440.
  • Dixit PD, Pang TY, Studier FW, & Maslov S (2015) Recombinant transfer in the basic genome of Escherichia coli. Proc Natl Acad Sci U S A 112(29):9070-9075.
  • Pang TY & Maslov S (2013) Universal distribution of component frequencies in biological and technological systems. Proc. Natl. Acad. Sci. U. S. A. 110(15):6235-6239.
  • Dixit PD & Maslov S (2013) Evolutionary Capacitance and Control of Protein Stability in Protein-Protein Interaction Networks. PLoS Computational Biology 9(4).
  • Grilli J, Bassetti B, Maslov S, & Lagomarsino MC (2012) Joint scaling laws in functional and evolutionary categories in prokaryotic genomes. Nucleic Acids Res. 40(2):530-540.
  • Heo M, Maslov S, & Shakhnovich E (2011) Topology of protein interaction network shapes protein abundances and strengths of their functional and nonspecific interactions. Proc. Natl. Acad. Sci. U. S. A.:4258-4263.
  • Studier FW, Daegelen P, Lenski RE, Maslov S, & Kim JF (2009) Understanding the differences between genome sequences of Escherichia coli B strains REL606 and BL21(DE3) and comparison of the E. coli B and K-12 genomes. Journal of molecular biology 394(4):653-680.
  • Maslov S, Krishna S, Pang TY, & Sneppen K (2009) Toolbox model of evolution of prokaryotic metabolic networks and their regulation. Proc Natl Acad Sci U S A 106(24):9743-9748.
  • Maslov S & Sneppen K (2002) Specificity and stability in topology of protein networks. Science 296(5569):910-913.

Related news

  • Research
  • COVID-19

Scientists at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory and the University of Illinois Urbana-Champaign (UIUC) have developed a new mathematical model for predicting how epidemics such as COVID-19 spread. This model not only accounts for individuals’ varying biological susceptibility to infection but also their levels of social activity, which naturally change over time. Using their model, the team showed that a temporary state of collective immunity—which they termed “transient collective immunity”—emerged during the early, fast-paced stages of the epidemic. However, subsequent “waves,” or surges in the number of cases, are predicted to appear because of changing social behaviors due to pandemic fatigue or variations in imposed mitigations. Their results appeared online on April 8, 2021 in advance of publication in the Proceedings of the National Academy of Sciences

  • Accolades

The American Institute for Medical and Biological Engineering (AIMBE) has announced the election of University of Illinois Professor of Bioengineering and Bliss Faculty Scholar Sergei Maslov, to its College of Fellows. Maslov holds an affiliate appointment at Illinois Physics and is a member of the Carle R. Woese Institute for Genomic Biology on the Urbana campus.
Maslov was nominated, reviewed, and elected by peers and members of the College of Fellows for his contributions to computational biology including microbiome dynamics, microbial and viral ecology, genomics, and studies of complex biological networks.

  • In the Media
  • Research

A new model by University of Illinois at Urbana-Champaign Professors Nigel Goldenfeld and Sergei Maslov helps clarify the limits of pandemic predictions, which are notoriously difficult for the near future and impossible for longer timescales.

  • Accolades

Three University of Illinois at Urbana-Champaign faculty members have been elected Fellows of the American Physical Society (APS). Physics Professor Yann Chemla, Physics and Astronomy Professor Brian Fields, and Physics and Bioengineering Professor Sergei Maslov are among 163 APS Fellows in the 2020 class.

The APS Fellowship Program recognizes members who have made exceptional contributions to the field of physics, whether through original research, innovative applications of physics to science and technology, leadership in or service to the field, or significant contributions to physics education. Each year’s class of Fellows represents less than one half of one percent of the Society’s membership.