Masataro Asai
Research Staff Member at IBM
Somerville, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolMasataro Asai is a research staff member at IBM with 13 years of experience specializing in bridging symbolic AI and machine learning, particularly in optimization, planning, and scheduling. He holds a PhD from the University of Tokyo in heuristic search and automated planning and has a track record of NSF-comparable fellowship funding and international research internships. Masataro combines deep academic rigor (Google Scholar active) with practical systems work, contributing to open-source projects like Roswell and pocl and adding optimized Common Lisp implementations to performance benchmarks. His contributions show attention to low-level robustness—fixing OpenCL program info handling and cross-platform installer issues—alongside higher-level algorithmic research. Based in Somerville, MA, he brings both theoretical insight and hands-on engineering to make symbolic-connectionist hybrid systems more reliable and performant.
13 years of coding experience
University of TokyoDoctor of Philosophy (Ph.D.), Artificial Intelligence, Heuristic Search, Automated Planning, Doctor of Philosophy (Ph.D.), Artificial Intelligence, Heuristic Search, Automated Planning at Graduate School of University of Tokyo
Japanese, English
Github Skills (34)
opencl10
c1110
c1710
fibonacci10
performance-optimization10
common-lisp10
command-line-interface9
gpu-programming9
memory-management9
parallel-processing9
heterogeneous9
code-readability8
benchmarking8
benchmark8
error-handling8
Programming languages (17)
Github contributions (5)
roswell/roswell
Sep 2015 - Nov 2021
intended to be a launcher for a major lisp environment that just works.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 194 commits, 39 PRs in 6 years 2 months
Contributions summary:Masataro primarily worked on improving the Common Lisp implementation launcher, Roswell. Their contributions included fixing installation processes, particularly concerning MSYS2 on Windows, by modifying the install scripts. They also addressed issues related to image dumping, including the creation of executables and core compression, and made several documentation updates to reflect the changes. Furthermore, the user enhanced the command-line interface and added several internal commands.
lispcommon-lisproswellquicklisp
drujensen/fib
Sep 2018 - Oct 2018
Performance Benchmark of top Github languages
Role in this project:Performance Engineer
Performance EngineerContributions:6 commits, 1 PR, 1 comment in 14 days
Contributions summary:Masataro contributed multiple Common Lisp implementations of the Fibonacci sequence algorithm to the repository. They experimented with different optimization techniques, including compile-time computation, local function optimization, and memoization. The commits also involved modifying the `run.sh` script to incorporate the newly created Lisp implementations for benchmarking.
pythonbenchmarkingclangjava-8benchmark
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.