Eduardo Abeliuk, Ph.D.
Dr. Eduardo Abeliuk has 20+ years of experience working in various companies and High-Tech labs in the U.S.A. He has collaborated with Stanford faculty on courses about High-Tech, and founded a number of startups in Silicon Valley.
Dr. Abeliuk founded Umine (formerly ClassroomTV), an HRTech company which is helping institutions to improve and expand their online instruction, and TeselaGen Biotech, a spin-off from Lawrence Berkeley National Lab (LBL), which is developing a technological platform for Synthetic Biology.
Education
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Ph.D. Electrical Engineering, Stanford University (GPA: 4.1/4.0)
M.S. Bioengineering, Stanford University (GPA: 4.0/4.0)
Eng. Electrical Engineering, University of Chile (Highest Honors)
B.S. Physics, University of Chile (Highest Honors)
B.S. Electrical Engineering, University of Chile (Highest Honors)
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Professional and Academic Experience
Dr. Abeliuk received his Ph.D. studying how bacterial cells divide using
high-throughput genetic and molecular biology techniques. His work has
been published in Journal of Molecular Systems Biology, Briefings in
Bioinformatics, Journal of Molecular Micro, PLOS Genetics, PLOS One and holds multiple U.S. patents on the topics of computational biology and Artificial Intelligence.
While still a student at Stanford he started, built and sold the social networking company KissMe LLC, co-founded TeselaGen
Biotechology as a research spin-off from LBNL/Stanford, and founded
Classroom.tv Inc (now Umine.com). KissMe was a popular social application, which hit a
million users within the first few weeks and was acquired a year later. Prior
joining Stanford, Eduardo was at SMaL Camera Technologies, an MIT startup
acquired by Cypress Semiconductor. He has also interned at Synopsys (Mountain View, CA), Motorola SPS (Chandler, AZ)
and served as a consultant to Telefonica and PricewaterhouseCoopers (Santiago,
Chile). Eduardo has served as a Teaching Assistant at Stanford in the
courses of "Topics in International Advanced Technology Research", "Entrepreneurship in Asian High-Tech Industries"
and "Fourier Transforms and Applications". At University of Chile, he was
teaching assistant in "Mathematical Methods of Physics", "Embedded Systems", "Contemporary Physics", "Multivariate Calculus", and "Mechanics".
Honors
During 2004, Eduardo was honored with the "Roberto Ovalle Aguirre
Award" given by the Chilean Institute of Engineers for best engineering
thesis. During his undergraduate studies, Eduardo received several fellowships and grants from University of Chile, Conicyt-Chile, CORFO, and Fundacion Andes for academic excellence. He has also received paper awards from IEEE for work on embedded DSP applications
and won the TIS Business Intelligence CUP 2003 for work on time-series forecasting.
During his younger years (1996), he obtained first place in the National (Chilean) Physics Olympiad, second place in the
National (Chilean) Mathematics Olympiad, and Valedictorian Award from Santiago College.
Patents
1. Abeliuk E. et al. (2025). Method, apparatus, and computer-readable medium for efficiently optimizing a phenotype with a specialized prediction model. US Patent App. US18/295158.
2. Abeliuk E. et al. (2025). Method, apparatus, and computer-readable medium for efficiently optimizing a phenotype with a combination of a generative and a predictive model. US Patent US12217828. Granted: 02/04/2025.
3. Abeliuk E. et al. (2023). Method, Apparatus, And Computer-readable Medium For Optimized Partitioning For Assembly Of Nucleic Acid Sequences. US Patent App. 18/790662.
4. Abeliuk E. et al. (2023). Method, apparatus, and computer-readable medium for efficiently optimizing a phenotype with a specialized prediction model. US Patent US11620544. Granted: 04/04/2023.
5. Abeliuk E. et al. (2023). Method, apparatus, and computer-readable medium for efficiently optimizing a phenotype with a combination of a generative and a predictive model. US Patent US17240553. Granted 02/07/2023.
6. Abeliuk E. et al. (2021). Method, apparatus, and computer-readable medium for optimal pooling of nucleic acid samples for next generation sequencing. US Patent App. 17/219,474.
7. Christen B., Fero M., Abeliuk E. (2015). Compositions and methods for identifying the essential genome of an organism. US Patent US9150916. Granted: 10/06/2015.
Book chapters
8. Landt S.G., Abeliuk E. (2012). A strategy for identifying noncoding RNAs using whole- genome tiling arrays. Bacterial Regulatory RNA (Editor: Keiler K). Methods in molecular biology series (Clifton, N.J.)
Selected Peer-reviewed Publications (1200+ citations)
9. Zhang J., Petersen S.D., Radivojevic T., Ramirez A., Perez-Manriquez A., Abeliuk E., Sanchez B.J., Costello Z., Chen Y., Fero M.J., Martin H.G., Nielsen J., Keasling J.D., Jensen M.K. (2020). Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism.
Nature communications.
10. Zhou B., Schrader J.M., Kalogeraki V.S., Abeliuk E., Dinh C.B., Pham J.Q., Cui Z.Z., Dill D.L., McAdams H.H., Shapiro L., (2015). The global regulatory architecture of transcription during the Caulobacter cell cycle., PLoS Genet.
11. Christen B.*, Abeliuk E.*, Fero M.J., Collier M.J., Kalogeraki V., Passarelli B., Coller J.M., McAdams H.H., Shapiro L. (2011). The essential genome of a bacterium. Journal of Molecular Systems Biology.
12. Goley E.D., Yeh Y.C., Hong S.H., Fero M.J., Abeliuk E., McAdams H.H., and Shapiro L. (2011). Assembly of the Caulobacter cell division machine. Journal of Molecular Microbiology
13. Britos L, Abeliuk E, Taverner T, Lipton M, McAdams H.H., Shapiro L. (2011). Regulatory Response to Carbon Starvation in Caulobacter crescentus. PLoS One.
14. Landt S.G., Abeliuk E., McGrath P.T., Lesley J.A., McAdams H.H., Shapiro L. (2008). Small non-coding RNAs in Caulobacter crescentus. Journal of Molecular Microbiology.
15. Srinivasan BS, Shah NH, Flannick JA, Abeliuk E, Novak AF, Batzoglou S. (2007). Current progress in network research: toward reference networks for key model organisms. Briefings in Bioinformatics.