Background

Computer scientist and executive turned Bioinformaticist.

I am part of David Haussler/Josh Stuart's collaboration with NIH's The Cancer Genome Atlas project and the Stand Up 2 Cancer project dream team.

Cancer is just a bug in a cell's program that forks off new processes faster than the immune system can shut them down. My plan is to create a pipeline that uses machine learning and large scale statistical processing of omic data to identify drug targets for the cancer molecular process pathways that allow cancer cells to erroneously run the stem cell genomic programs that give cancer cells an advantage over healthy cells. Then we will be able to shut down those processes and programs and turn cancer from an ultimately lethal disease into a mildly annoying chronic one.

Recent Publications about Our Work

• Major grant funds UCSC researchers using big data to predict cancer outcomes
  

• Ted Goldstein, Apple executive turned grad student, profiled in HHMI Bulletin
  

My Most Recent Publications

• Thesis: Tools for Extracting Actionable Medical Knowledge from Genomic Big Data
  UCSC, June 2013

• Molecular Pathways: Extracting Medical Knowledge from High-Throughput Genomic Data
  AACR JCO, June 13, 2013

• Whole-genome analysis informs breast cancer response to aromatase inhibition
  Nature, June 2012

• Subtype and pathway specific responses to anticancer compounds in breast cancer
  Proceeds of the National Academcy of Sciences, October 2011

Computer Science and Security Publications

Former Projects

Here is a list of some of my former projects:

• Mac OS X

• Automator

• Java Card

• Xcode

Acknowledgements This page was created from the Sites/index.html file found on Mac OS X Leopard.