Jed Pitera
Location: (San Jose, CA)
Personal Research Web Page: http://www.almaden.ibm.com/st/computational_science/
Keywords: High Performance Computing, supercomputing, simulation, parallel algorithms, computational chemistry, computational biology, materials science, Markov models, statistical mechanics, self-assembly, computer-aided engineering
Posted on: Thursday, June 4th, 2009
Broad Research Area: Numerical/Scientific Computing / HPC / Data-Intensive Scalable Computing, Scientific/Medical Informatics
Research Interests:
Biography:
Dr. Pitera is a research staff member in Science and Technology at the IBM Almaden Research Center. His research focuses on the use of computer simulation to address questions in biology and chemistry, particularly in the areas of protein folding, molecular recognition, self-assembly, and water purification. Since February of 2001 Dr. Pitera has worked as a member of the IBM Blue Gene Project Science and Application team.
Dr. Pitera received undergraduate training in Biology and Chemistry at the California Institute of Technology, where he worked in Prof. Pamela Bjorkman’s protein crystallography group. Subsequently, he pursued graduate studies in Biophysics at the University of California, San Francisco in the laboratory of Prof. Peter Kollman. In Dr. Kollman’s group, he developed an interest in the use of biomolecular simulation and free energy calculations in the rational design of proteins and pharmaceuticals. He pursued similar work in a postdoctoral position with Prof. Dr. Wilfred van Gunsteren at the ETH in Zurich, Switzerland, where his research focused on novel methods to calculate free energies for ligand design. Dr. Pitera is also an adjunct assistant professor in the UCSF Department of Pharmaceutical Chemistry, and maintains active collaborations with groups at UCSF and Stanford.
Interests:
We are interested in hosting a postdoctoral fellow focused on the development or application of high performance computing in computational materials science. Large-scale parallel algorithms, new computational methods, or novel application areas would all be suitable topics for a research program.
Contact Information:
Contact via e-mail (email obfuscated - click to reveal)
