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Edward Park
Chief Data Scientist at TrakInvest
Edward Park is a highly skilled individual with expertise in statistical simulation and modeling across various domains such as telecommunication systems, transportation systems, and real-time financial systems. He is well-versed in methodologies like Markov Chain Monte Carlo (MCMC) and Hidden Markov Model (HMM). His proficiency extends to econometrics, including ARIMA, GARCH, PCA, and Factor Analysis, with a focus on risk management tools like Value at Risk (VaR) and Extreme Value.
Additionally, Edward has a strong background in stochastic optimization techniques such as Genetic Algorithm (GA), Differential Evolution (DE), and Particle Swarm Optimization (PSO). He is experienced in simulation and modeling for computational electrodynamics, utilizing methods like the Finite Element Method and Monte Carlo Method for Stochastic PDEs. Edward is also well-versed in High-Performance Computing (HPC) tools like OpenMP, MPI, FPGA, and GPU, and possesses excellent programming skills.
His specialties include stochastic modeling and simulation in areas like electrodynamics, optics, traffic systems, and telecommunication systems. Edward's expertise spans computational statistics, computational differential equations (ordinary/partial/stochastic), optimization techniques, computational finance, and numerical methods.
Edward Park holds a PhD in Electrical and Computer Engineering from the Georgia Institute of Technology and an M.S. in Computational Statistics and Data Analysis from the Asian Institute of Technology. He has held various prominent positions throughout his career, including Chief Data Scientist at TrakInvest, Research Scientist at Massachusetts Institute of Technology (MIT), Senior Research Fellow at the School of Computer Science, National University of Singapore, and Quantitative Analyst at HedgeSPA.
Prior to these roles, Edward has served as a Research Scientist, Senior Research Engineer, and Research Engineer at multiple prestigious institutions like the Institute of High-Performance Computing and the Electronics and Telecommunications Research Institute. He has also taught as an Adjunct Professor at Thammasat University and been involved with the SK Telecom Foundation. Edward Park's diverse experience and expertise make him a valuable asset in the fields of statistical simulation, modeling, and computational sciences.
