Craig Kapfer is a highly qualified professional, who works in Gsk on the position of Director, Scientific Computing from 2019. Craig gained professional experience in more than 14 positions at various companies. Craig Kapfer went to the Indiana University Bloomington and received education there. Livermore, California is the city, where this professional was lastly known to live. The person's e-mail and phone are accessed through this website on demand.
Name variants:
Craig Kapfer
Last updated Jul 03, 2024
Contact Information
Last Update
Jul 9, 2022
Email
ck**@gmail.com
Location
Livermore, CA
Company
Gsk
Workplace
Director, Scientific Computing
Work History
Senior Computational Scientist
Spearheaded the full life cycle of computational operations for the Computational Bioscience Research Center (CBRC) at KAUST. Architected, managed and developed community support for a 22,00...
Mar 2014 — Jun 2017
Research Applications Lead
Managed team supporting computational research efforts on Linux, Mac and Windows. Led large procurement activities for new clusters. Organized technical workshops and conferences. Directed d...
Dec 2011 — May 2014
Principal
Performed software and algorithm development, analysis, strategic advice for a variety of clients.
2008 — 2012
Research Applications Specialist
Supported and contributed to research via configuration and optimization of a wide array of research and commercial software running on compute clusters. Optimized performance of research an...
Jul 2010 — Dec 2011
It Director
Directed IT operations, provided strategic management and software development for non-profit membership based community.
Nov 2007 — 2011
Consultant and Software Engineer
731 Lexington Ave, New York, NY 10022
Developed novel functionality for equities platform, provided technical direction regarding software process and management.
2009 — 2010
Computational Scientist
Developed algorithms and software in C++ and Python for startup firm--specifically real-time object detection, tracking and classification in low resolution streaming video.
2009 — 2009
Principal Software Engineer
Led full software development life cycle for AdLearn advertising platform in C++. Gathered requirements, wrote technical specs, developed software architecture and provided technical directi...
2008 — 2009
Computational Scientist
7000 East Ave #p/o box 808, Livermore, CA 94550
Performed research in scientific computing. Developed and implemented algorithms in C++/C/Python for multiple domains: atmospheric modeling in urban environments, mesh quality, adaptive mesh...
1999 — 2008
Systems Administrator
2815 east 10Th St, Bloomington, IN 47408
Performed system administration and user support for Windows and AIX systems.
1998 — 1999
Education
Occupations
Executive
Director
Senior Manager
Operations Manager
Skills
High Performance Computing
Parallel Computing
Linux
Applied Mathematics
Mpi
Algorithms
Parallel Programming
Software Engineering
Scientific Computing
Python
Optimization
Programming
Simulations
Computer Science
Distributed Systems
Numerical Analysis
Parallel Algorithms
Fortran
Mathematical Modeling
C
Cloud Computing
Data Mining
Machine Learning
Matlab
Openmp
Project Management
R
C++
Latex
Artificial Intelligence
Perl
Algorithm Development
Big Data
Software Development
Data Analysis
Unix
FAQs about Craig Kapfer
What's the main profession of Craig Kapfer?
The expert is a Director, Scientific Computing.
What jobs is Craig Kapfer a professional at?
Craig Kapfer is a professional such jobs as Executive and Director.
Where does Craig Kapfer currently live?
Livermore, California is the place where Craig Kapfer currently lives
What is the expert's email?
Craig Kapfer's email is ck**@gmail.com.
How many companies did Craig Kapfer work at?
Craig Kapfer worked at 14 jobs.
Where has Craig Kapfer studied?
Craig studied at the Indiana University Bloomington.
Are there any special industries Craig Kapfer works in?
Craig works in Research industry.
Are there any professional skills, that Craig Kapfer has?
Craig has such skills as High Performance Computing, Parallel Computing, Linux, Applied Mathematics, Mpi, Algorithms, Parallel Programming, and Software Engineering.