Yulia Newton

yulia.newton@gmail.com

Ph.D. in Bioinformatics and Biomolecular Engineering candidate

University of California Santa Cruz


M.S. in Bioinformatics and Biomolecular Engineering

University of California Santa Cruz


B.S. in Computer Science with minor in Mathematics

San Jose State University


Background

I am a Ph.D. candidate in the Bioinformatics and Biomolecular Engineering program in the Jack Baskin School of Engineering, at the University of California, Santa Cruz. I began in this program in the Fall 2011. My main interests lay in machine learning and applying computational and statistical inference techniques to systems biology, specifically cancer genomics data. My current research is concentrated in the area of drug response prediction and patient-specific treatment prediction in cancer.

I graduated from San Jose State University. I received a Bachelor of Science in Computer Science degree with minor in Mathematics (cum laude).

I returned to school after nearly a decade of working in the software industry in order to pursue my passion in machine learning and data analytics. I have a strong background in mathematics, statistics, algorithms, and software development. I wish to apply my background to research in computational life sciences.

Curriculum Vitae

Linked-in page

Previous Research

Completed the following research projects at UCSC:
Completed the following research projects at San Jose State University under the guidance and mentorship of Professor Sami Khuri:

Publications, Conferences, Posters and Presentations


Awards


Graduate-level courses completed

Fall 2010
CS 203 - Design and Analysis of Algorithms (SJSU)

Spring 2011
CS 203 - Advanced Bioinformatics Algorithms (SJSU)

Fall 2011
BME 205 - Bioinformatics Models and Algorithms (UCSC)
BME 200 - Teaching Bioinformatics (UCSC)

Winter 2012
BME 230 - Computational Genomics (UCSC)
BME 255 - Biotech and Drug Development (UCSC)

Spring 2012
BME 211 - Computational Systems Biology (UCSC)
BME 215 - Applied Gene Technologies (UCSC)

Fall 2012
AMS 203 - Probability Theory and Applications (UCSC)
CMPS 242 - Machine Learning (UCSC)

Winter 2013
AMS206 - Bayesian Inference (UCSC)

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