Jean Hausser
About me
I am scientist interested in engineering effective cancer immunotherapies. I enjoy most working on important and challenging problems, where data are plentiful but where the amount of data makes it difficult to know where to start. I address this challenge by formulating hypotheses, turning these hypotheses into mathematical equations, and implementing these equations into new data science approaches that make best use of the data to solve the problem at hand.
I initially trained in bioinformatics and data science for Masters and PhD, then as a mathematical theorist and finally as a cancer experimentalist during my postdoc, before starting my lab at Karolinska Institute.
Main research achievements include finding mathematical order in the complexity of the fundamentals of gene regulation, and in the coordination of gene programs in tumors. I have attained these achievements by integrating bioinformatics and data science, mathematical modeling, and experimental approaches. I have published 30+ articles which have been cited more than 10000 times, and acquired 4 million euros in research funding.
Research
The lab researches mathematical rules in the molecular tricks that cancer cells use to escape destruction by immune cells. We seek to articulate the molecular chat between immune and cancer cells into equations, to serve as the foundation to engineer personalized cancer immunotherapy. We combine single-cell and spatial tumor profiling experiments, AI & data science, and physics-style mathematical modeling.
Teaching
- Mathematical modeling in biomedicine. Karolinska Institute (2022-)
- Systems biology. Teaching assistant in Uri Alon's class at Weizmann
Institute (2014) - General biology. Teaching assistant in Michael Hall's class at Uni Basel
(2010)
Articles
- Article: SCIENTIFIC REPORTS. 2025;15(1):3811
- Article: NATURE COMMUNICATIONS. 2024;15(1):3226
- Article: NATURE COMMUNICATIONS. 2023;14(1):7182
- Article: EXPERIMENTAL CELL RESEARCH. 2023;425(2):113527
- Article: NATURE COMMUNICATIONS. 2019;10(1):5423
- Article: CELL. 2019;179(5):1207-1221.e22
- Article: ENVIRONMENTAL MICROBIOLOGY. 2019;21(3):1068-1085
- Article: NATURE COMMUNICATIONS. 2019;10(1):68
- Article: CELL. 2016;166(5):1282-1294.e18
- Article: JOURNAL OF BIOLOGICAL CHEMISTRY. 2015;290(33):20284-20294
- Article: PLOS COMPUTATIONAL BIOLOGY. 2015;11(7):e1004224
- Article: NATURE METHODS. 2015;12(3):233-235
- Journal article: NATURE REVIEWS GENETICS. 2014;15(10):702
- Article: JOURNAL OF CLINICAL INVESTIGATION. 2014;124(6):2722-2735
- Article: BIOESSAYS. 2014;36(6):617-626
- Article: PLOS COMPUTATIONAL BIOLOGY. 2014;10(5):e1003602
- Article: CELL METABOLISM. 2014;19(1):122-134
- Article: MOLECULAR SYSTEMS BIOLOGY. 2013;9:711
- Article: GENOME RESEARCH. 2013;23(4):604-615
- Article: NATURE METHODS. 2013;10(3):253-255
- Article: METHODS. 2012;58(2):106-112
- Article: HEPATOLOGY. 2012;55(1):98-107
- Article: PLOS PATHOGENS. 2011;7(12):e1002405
- Article: NATURE. 2011;474(7353):649-653
- Article: NATURE METHODS. 2011;8(7):559-564
- Article: JOVE-JOURNAL OF VISUALIZED EXPERIMENTS. 2010;(41):2034
- Journal article: JOVE-JOURNAL OF VISUALIZED EXPERIMENTS. 2010;(41)
- Article: CELL. 2010;141(1):129-141
- Article: GENOME RESEARCH. 2009;19(11):2009-2020
- Article: NUCLEIC ACIDS RESEARCH. 2009;37(Web Server issue):W266-W272
- Article: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA. 2009;106(14):5813-5818
- Article: JOURNAL OF MACHINE LEARNING RESEARCH. 2009;10:1469-1484
- Journal article: BMC BIOINFORMATICS. 2007;8:248
- Article: BMC BIOINFORMATICS. 2007;8:69
- Show more
All other publications
- Letter: MOLECULAR BIOLOGY AND EVOLUTION. 2022;39(1):msab297
- Review: NATURE REVIEWS CANCER. 2020;20(4):247-257
- Preprint: BIORXIV. 2018
- Review: NATURE REVIEWS GENETICS. 2014;15(9):599-612
- Book chapter: HANDBOOK OF RNA BIOCHEMISTRY. 2014;p. 833-860
Grants
- Swedish Research Council1 January 2025 - 31 December 2027
- Swedish Cancer Society1 January 2022
- Swedish Research Council1 January 2019 - 31 December 2022
- Swiss National Science Foundation1 June 2018 - 28 February 2019
- Prediction of cancer cell adaptations to drugsSwedish Cancer Society1 January 2018
- Swiss National Science Foundation1 August 2015 - 31 July 2017
- Swiss National Science Foundation1 April 2013 - 31 August 2013