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[[FILE:TiRongWu.jpg|border|right|thumb|link=https://icga.org/?page_id=1908| Ti-Rong Wu <ref>Image cropped from "[[19th Computer Olympiad#Go|The winners of the Go 19x19]]", Photo 16 by [[Jan Krabbenbos]], [https://icga.org/?page_id=1908 Events 2016: Day 6 | ICGA]</ref> ]]

a Taiwanese computer scientist affiliated with the Computer Games and Intelligence Lab at [[National Chiao Tung University]], [https://en.wikipedia.org/wiki/Hsinchu Hsinchu] headed by professor [[I-Chen Wu]] <ref>[http://www.aigames.nctu.edu.tw/members Members - lab-aigames]</ref>. His research interests include [[Learning|machine learning]] for [[Games|computer games]], [https://en.wikipedia.org/wiki/Mathematical_optimization mathematical optimization], [[Parallel Search|parallel]] [[Monte-Carlo Tree Search|MCTS]], and recently [[Go#CNN|DCNN]] <ref>[https://groups.google.com/d/msg/computer-go-archive/-GcbtddZDmw/ASnrdx6IDgAJ Re: UEC cup 1st day result] by [[Ti-Rong Wu]], [https://groups.google.com/forum/#!forum/computer-go-archive Computer Go Archive], March 19, 2016</ref>. Ti-Rong Wu is key-developer of the [[Go]] playing program [https://www.game-ai-forum.org/icga-tournaments/program.php?id=800 CGI] who made most significant changes and improvements over the former [https://www.game-ai-forum.org/icga-tournaments/program.php?id=624 Amigo], including [[Automated Tuning|automated tuning]] of pattern features <ref>[http://aigames.nctu.edu.tw/~icwu/aigames/CGI.html Introduction to Go Programs Developed at CGI Lab]</ref>.