Chun-Biu Li

Chun-Biu Li

Universitetslektor, docent

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Works at Department of Mathematics (incl. Math. Statistics)
Visiting address Roslagsvägen 101, Kräftriket, hus 5-6
Postal address Matematiska institutionen 106 91 Stockholm

About me


I am an associate professor (Docent) of Computational Mathematics at Department of Mathematics. My research interest is to develop and apply statistical and computational methods to understand how biophysical systems work. My focuses are on the interplays between information theory, data science, machine learning and statistical physics. I also teach and supervise in Mathematical Statistics.



  • Ph.D. (2003) Univ. of Texas at Austin USA in mathematical & statistical physics (supervisor: Ilya Prigogine)
  • M.S. (1997) Univ. of Utah USA in mathematical & statistical physics
  • B.S. (1995) Chinese Univ. of Hong Kong


Academic experience:

  • Associate Professor (2016 - present) Department of Mathematics, Stockholm Univ., Sweden
  • Associate Professor (2008 - 2016) Research Institute for Electronic Science, Hokkaido Univ.; Department of Mathematics, Hokkaido Univ., Japan
  • JST/CREST Researcher (2005 - 2008) Kobe Univ. & Research Institute for Electronic Science, Hokkaido Univ., Japan
  • Postdoc (2004 - 2005) Kobe Univ., Japan
  • Visiting Scientist (2003 - 2004) Ilya Prigogine Center for Statistical Mechanics and Complex Systems, Univ. of Texas at Austin, USA






Current Postdocs/Students (from Oct 2016 only)

  • Bursa Tas, PhD student, "Statistical learning and stochastic modeling of molecular motor", Feb 2019 - present
  • Jie Wen, master student, "Generalization & validation of density-based clustering method", Oct 2019 - present
  • Gonzalo Aponte Navarro, master student, "Hidden Markov Models for speech recognition", Feb 2019 - present
  • Michael Ståhle, master student, "Data driven statistical learning for football manager assistant", Feb 2017 - present


Former Postdocs/Students (from Oct 2016 only)

  • Huixin Zhong, master student, "Multivariate change point detection based on principal component analysis", Feb 2019 - Sept 2019
  • Oliver Murquist, master student, "Machine learning for actuaries: Understanding tree based methods using insurance fraud data", Sept 2017 - Sept 2019
  • Ellinor Krona, master student, "Investigation of cohort effects in Swedish mortality rates", Feb 2019 - Jun 2019
  • Nguyen Huong Thu, postdoc, "Information flow and causality detection", Oct 2017 - Feb 2019
  • Yuji Tamiya, PhD student (affiliated to Hokkaido Univ.) , "Nonequilibrium dynamics of motor protein",  Oct 2016 - Feb 2018
  • Rickard Strandberg, master student (co-supervising with Prof. Marie Reilly, Karolinska Inst.), "Effective design and analysis of pooled ELISpot experiments", Feb 2017 - Dec 2017
  • Felix Martinsson, master student, "Machine learning and financial data analysis", Jan 2017 - Sep 2017
  • Satoru Tsugawa, postdoc, "Statistical analysis and modeling of plant morphogenesis", Oct 2016 - Jan 2017




Main topics:

Data-driven nonparametric statistical analyses for biophysical applications

Keywords: Time series analysis, machine learning, statistical inference, network theory, dynamical systems, single molecule biophysics


Statistical theory of information flows and multivariate dependence

Keywords: Causality detection, transfer entropy, multivariate time series, information theory, information geometry, collective dynamics


Statistical theory of stochasticity and fluctuations and their constructive roles in biophysical systems

Keywords: Fluctuation theorems, information engines, protein motors, nonequilibrium statistical physics, spatio-temporal variability, multiscale correlations, stochastic modeling, morphogenesis

Last updated: October 11, 2019

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