I am an Assistant Professor in the Department of Cellular and Molecular Medicine and the Department of Bioengineering at the University of California San Diego. I am interested in disentangling the enigmatic secrets hidden in large omics datasets. My research is focused on developing novel machine-learning approaches and in leveraging these approaches to elucidate the basic molecular mechanism underlying cancer development and cancer progression. My hope is that this understanding will allow us to improve cancer treatment and cancer prevention.
Burcak Otlu, Ph.D.
I am a computer scientist specialized in bioinformatics. My research mainly focuses on the development of algorithmic solutions to emerging problems in genomics. I work on genome analysis with an emphasis on annotation and enrichment analysis of genomic loci. I am also interested in genomic variations, specifically, integrative analysis of variations in various cancer types. In this lab, my aim is to apply machine learning and data science techniques in cancer genomics and develop bioinformatics software pipelines. When I am not working, I enjoy spending time with my daughter and son that always keep me on my toes!
S. M. Ashiqul Islam (Mishu), Ph.D.
I am an intent data analyst and always enjoy discovering hidden patterns form an array of information. Originally being a molecular biologist, I gathered skill in developing various machine-learning-assisted algorithms during my Ph.D. In future, I want to make myself engaged in genomic data analysis where I will be able to dig out new information on the mystery of our life which we do not know yet.
Maria Zhivagui, Ph.D.
Specialized in cancer research, I chose this field given its enigmatic aspect inciting the need for discovery. I am a post-doc, interested in cancer biology and phenomena. Contributing to cancer genomics, including genetics and epigenetics, is a privilege for me that may allow unraveling mysteries of carcinogenesis. Given that the realm of science is broad and interconnected, one of the aspects that interests me is bioinformatics. Therefore, I would like to expand my knowledge on complex data analysis and programming.
Marcos Diaz-Gay, Ph.D.
I am a postdoctoral scholar. Originally trained in engineering, I have focused my career in biomedical research, with a strong interest in bioinformatics, particularly genomic data analysis. I have become fascinated by the development of new computational methodologies in cancer research allowing the discovery of the underlying mechanisms of cancer predisposition and progression. Making this knowledge accessible to the research community is one of my main goals at the Alexandrov lab.
Erik Bergstrom, B.S.
I am a PhD student in the Bioengineering department. I am interested in exploring the underlying characteristics of mutational signatures found in various cancer types. I would like to explore the biological implications and affected mechanisms correlated with these mutational signatures, while developing bioinformatics software to aid in the downstream data analysis.
Phoebe He, B.S.
I am a PhD student in the Biomedical Sciences Program. Prior to starting my graduate studies, I worked for a pharmaceutical company developing biological and chemical treatments for cancer. In the Alexandrov Lab, I study the the genetic alterations in benign and early stage tumors to bring understanding to the causes and the early molecular events of this disease.
Ashrith Reddy, B.Tech.
I am a PhD student in the Bioengineering department. Prior to starting graduate school, I worked for two years at an analytics advisory firm focusing on healthcare analytics. My primary research interest lies in understanding cancer through a combination of machine learning and complex systems modeling. I would like to uncover fundamental laws that govern the genotypic and phenotypic evolution of the system combined with their underlying genomics.
Azhar Khandekar, B.S.
I am a PhD student in the UCSD Bioinformatics and Systems Biology program. I am interested in integrating large-scale omics datasets to elucidate the biological mechanisms that drive cancer formation and progression. Previously, I worked at the NIH on integrating methylation and somatic mutation data to study mechanism of mutagenesis, and currently in the Alexandrov lab I am working on analyzing copy number variation and structural variants in normal and tumor genomes. Coming from a molecular biology background, my goal is to learn how to apply computational techniques to various omics datasets to derive biological insight.
Yuhe Cheng, B.S.
I am a PhD student in the Bioengineering department. I am interested in combining experimental and computation methods to explore the phenotypic profiling of mutational signatures in tumors and normal tissues. My goal is to map the multi-omic landscape of mutations that provides biological insights into the onset of cancer.
Ammal Abbasi, B.S.
I am a Ph.D. student in the Bioinformatics and Systems Biology program. I am primarily interested in cancer genomics and the use of computational tools to uncover genetic driver events responsible for cancer onset and metastasis. More specifically, I am interested in the clinical applicability of mutational signature driven biomarkers for better personalized use of cancer therapies.
Mark Barnes, B.S.
I have a degree in Mathematics-Computer Science from UCSD and am interested in the intersection between computers, math, and biology. I will be working as a bioinformatics programmer and will be developing software to help study mutational signatures..
Yuzhou Tong (Evelyn)Bioengineering: Biotechnology
Jason DaiBioengineering: Bioinformatics
Noelia ValenzuelaBiochemistry and Cell Biology
Carolina CastañedaVisiting Scholar2019
Uma MahtoUndergraduate Researcher2019
Christopher SteeleVisiting Scholar2019
Melissa YakutaVisiting Scholar2018
Willie ChaoBioinformatics Staff2018