Jonathan J.Y. Teo
Computational Biologist, Data Scientist.
Research interests
Dynamical Biological Models, Feedback Control Theory, Metagenomics, Food Fermentation
Education
2013 - 2019
Massachusetts Institute of Technology, Cambridge MA
- Ph.D. in Computational Biology
- Thesis title: Synthetic Analog Feedback Control Circuits in Living Cells
- Thesis advisor: Rahul Sarpeshkar
2009 - 2012
Johns Hopkins University, Baltimore MD
- B.A. Major in Biophysics and Physics, Minor in Economics (GPA 3.95)
- Thesis title: Modeling Cell Chemotaxis with an Extended Biased Excitable Network Scheme
- Thesis advisor: Pablo A. Iglesias
2005 - 2006
Raffles Junior College, Singapore
Work Experience
2019 - Current
Lab of Metagenomic Technology & Microbial Systems, Genome Institute of Singapore (GIS) A*STAR, Biopolis, Singapore
- Research Advisor: Dr. Niranjan Nagarajan
- Dynamical modeling of microbial interactions in food microbiome.
- Feature engineering of environmental metagenome.
- Applying metagenomics to study the effects of food on the gut microbiome.
2012
Biomolecular Modeling and Design, Bioinformatic Institute (BII) A*STAR, Biopolis, Singapore
- Research Advisor: Dr. Chandra Verma
- Investigating potential long-range allosteric effects of MDM2 between its acidic domain and binding site.
- Identifying structural and functional differences in MDM2-p53 binding in different animal species for drug discovery.
- Applying statistical techniques to analyze changes in binding interaction over time.
2009
Engineering Expression, Bioprocessing Technology Institute (BTI) A*STAR, Biopolis, Singapore
- Research Advisor: Dr. Sheng-Hao Chao
- Investigated for potential interaction between pCAF and XBP-1S by altering expression levels of proteins of interest.
- Acquired experimental proficiency in PCR, western blot and cell transfection.
Awards
2013
National Science Scholarship (NSS) PhD
2012
Detlev W. Bronk Award, Thomas C. Jenkins Department of Biophysics, JHU.
Phi Beta Kappa, Johns Hopkins University chapter, Alpha of Maryland.
General and Departmental Honors, Department of Biophysics, Department of Physics, JHU.
2009
National Science Scholarship (NSS) BS
Publications
2022
Kang, J. T. & Teo, J. JY., Bertrand, D., Ng, A., Ravikrishnan, A., Yong, M., … and Nagarajan, N. “Long-term ecological and evolutionary dynamics in the gut microbiomes of carbapenemase-producing Enterobacteriaceae colonized subjects.” bioRxiv (2022).
2020
Teo, J. JY., and Sarpeshkar, R. “The Merging of Biological and Electronic Circuits.” iScience (2020): 101688.
Medley, J. K., Teo, J. JY., Woo, S. S., Hellerstein, J., Sarpeshkar, R., and Sauro, H. M. “A compiler for biological networks on silicon chips.” PLOS Computational Biology 16.9 (2020): e1008063.
2019
Teo, J. JY. , Kim, J., Woo, S. S., and Sarpeshkar, R. “Bio-molecular Circuit Design with Electronic Circuit Software and Cytomorphic Chips.” 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS). IEEE, 2019.
Teo, J. JY., Weiss, R., and Sarpeshkar, R. “An artificial tissue homeostasis circuit designed via analog circuit techniques.” IEEE Transactions on Biomedical Circuits and Systems 13.3 (2019): 540-553.
2018
Zeng, J., Teo, J. JY., Banerjee, A., Chapman, T. W., Kim, J., & Sarpeshkar, R. “A synthetic microbial operational amplifier.” ACS synthetic biology 7.9 (2018): 2007-2013.
2015
Teo, J. JY., Woo, S. S., and Sarpeshkar, R. “Synthetic biology: A unifying view and review using analog circuits.” IEEE Transactions on Biomedical Circuits and Systems 9.4 (2015): 453-474.
2013
Hernychova, L., Man, P., Verma, C., Nicholson, J., Sharma, C. A., Ruckova, E., Teo, J. JY., … and Hupp, T. R. “Identification of a second N utlin‐3 responsive interaction site in the N‐terminal domain of MDM 2 using hydrogen/deuterium exchange mass spectrometry.” Proteomics 13.16 (2013): 2512-2525.
2011
Lew, Q. J., Chu, K. L., Lee, J., Koh, P. L., Rajasegaran, V., Teo, J. JY., & Chao, S. H. “PCAF interacts with XBP-1S and mediates XBP-1S-dependent transcription.” Nucleic acids research 39.2 (2011): 429-439.