Position:
Graduate Student.
Email:
david (dot) orendorff (at) uci (dot) edu.
Office: Bren Hall 4069
Address: Department of Computer Science, University of California, Irvine CA 92697.
I am a PhD candidate advised by
Eric Mjolsness at the University of California, Irvine.
In June 2008 I recieved my M.S. in computer science from UC Irvine.
Previously I attended the University of Washington from 2002-2006 and majored in
computer science and math with biological focus.
There I worked on
Computational Biology problems
with Howard Chizeck during '04 and with Martin Tompa in '06.
I've worked at the Institute for Systems Biology, Cogent Research Laboratories and UrbanSim.
I served on the board of
the
UW Chess Club
as well as participated in
UCF,
UW symphonic band (F-horn) and
Unleashed A capella.
Outside Interests: Piano, outdoors, badminton, literature,
cinema, photography.
And for the masochist, here is my blog.
Teaching
Concepts in Programming Languages I. TA.
Summer 2008.
Data Structures and Algorithms (CS III). Section 1 TA.
Spring 2007.
Research/Projects
analysis of orthologous DNA in mammals using comparative genomics.
urban simulation (of Seattle specifically) using an agent based engine.
expanding Gillespie's Stochastic Simulation to efficiently simulate less restricted processes.
oligonucleotide synthesis using inkjet printers.
Current
Improving chemical master equation MCMC algorithms by using rejection sampling.
Programming Competitions
I enjoy participating in programming competitions during my free time. Team AllYourBayes with Drew Frank, Todd Johnson, Julien Neel and myself recently placed 3rd for task one in the
2008 UCSD data mining contest.
Additionally, I enjoy the problems at Topcoder .
Papers/Publications
Eric Mjolsness, David Orendorff, Philippe Chatelain, and Petros Koumoutsakos. An Exact Accelerated Stochastic Simulation Algorithm. Journal of Chemical Physics 130, 144110 (2009). Webpage.
David Orendorff, Philippe Chatelain and Eric Mjolsness. High-accuracy R-leaping: Implementing
and exploring a potentially exact method for accelerated stochastic simulation. ICSB Conference 2007.
Abstract.
David Orendorff and Todd Johnson. First-Order Probabilistic Models for Predicting the Winners of
Professional Basketball Games.
Project paper.