Problem Solver
Jarob Gilliam
Areas Jarob Gilliam is Knowledgeable in:
Combinatorics.
Discrete probability.
Continuous and discrete optimization.
Simulation of finite state and dynamical systems.
Discrete probability.
Continuous and discrete optimization.
Simulation of finite state and dynamical systems.
Techniques Jarob Gilliam Uses:
Rigorous mathematical analysis.
Proof based results.
Reductionism; breaking problems into smaller, simpler, independent pieces.
Computer simulation as a means of increasing confidence in results and as a predictive tool for likely formulations of solutions.
Proof based results.
Reductionism; breaking problems into smaller, simpler, independent pieces.
Computer simulation as a means of increasing confidence in results and as a predictive tool for likely formulations of solutions.
Jarob Gilliam's Problem Solving Skills:
- Python
- Simulation
- Mathematics
- Probability
Jarob Gilliam's Problem Solving Experience:
- Well versed in Probability and Statistics, I can independently calculate discrete probabilities, provide upper and lower bounds with respect to continuous problems, and back up probabilistic estimates using robust simulation techniques.
- I've developed and implemented specialized algorithms for the black box optimization of expensive and discontinuous functions of many variables.
- I specialize and have experience in solving specialized technical and mathematical problems using novel approaches backed by the latest research.