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Te-Yuan Huang

Te-Yuan (TY) leads the Streaming Algorithm team at Netflix, improving Quality of Experience through adaptive bitrate algorithms. Besides... | Los Gatos, California, United States

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Te-Yuan Huang’s Location Los Gatos, California, United States

Te-Yuan Huang’s Expertise Te-Yuan (TY) leads the Streaming Algorithm team at Netflix, improving Quality of Experience through adaptive bitrate algorithms. Besides ABR algorithm designs, my team also instruments the joint-optimizations between OpenConnect (Netflix's CDN), Video Encoding Algorithms, and Netflix players. This effort improves our operational efficiency, enables better tooling, and advances our understanding on the interactions between the sub-systems in the Netflix video delivery pipeline. TY also serves the computer networking research community ACM SIGCOMM as a member of technical program committee for various conferences and as a liaison for N2Women (Networking Networking Women), advising SIGCOMM's inclusive and diversity effort. In 2016, TY was listed as one of the "10 Women in Networking/Communications That You Should Watch" by ACM/IEEE N2Women (Networking Networking Women). Outside of the professional domain, TY is active in various community services. At Netflix, TY serves in AEN (Asian Employees at Netflix) and leads cultural activities to foster better understanding of Asian culture within the company. Outside Netflix, TY served Taiwanese American community as a board member in TAITA (Taiwanese American Industrial Technology Association). Prior to Netflix, TY did her PhD research on the designs of video adaptive bitrate algorithm, understanding their interactions with TCP congestion control at Stanford. During her PhD, TY was also heavily involved in the early stage of OpenFlow and SDN research. Her thesis was advised by Prof. Nick McKeown and Prof. Ramesh Johari.

Te-Yuan Huang’s Current Industry Netflix

Te-Yuan Huang’s Prior Industry
Technicolor | Netflix

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Work Experience

Netflix

Senior Engineering Manager (Adaptive Streaming)

Sun Oct 01 2023 00:00:00 GMT+0000 (Coordinated Universal Time) — Present

Netflix

Engineering Manager (Adaptive Streaming)

Wed May 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time) — Sun Oct 01 2023 00:00:00 GMT+0000 (Coordinated Universal Time)

Netflix

Senior Software Engineer

Fri Aug 01 2014 00:00:00 GMT+0000 (Coordinated Universal Time) — Mon Apr 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time)

Netflix

Software Engineer Intern

Mon Apr 01 2013 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri Aug 01 2014 00:00:00 GMT+0000 (Coordinated Universal Time)

Technicolor

Research Intern

Tue Jun 01 2010 00:00:00 GMT+0000 (Coordinated Universal Time) — Wed Sep 01 2010 00:00:00 GMT+0000 (Coordinated Universal Time)

Skills

Languages

Te-Yuan Huang Email Addresses

hu****@st****.edu Work Email

hu****@st****.edu Personal Email

th****@ne****.com Personal Email

FAQ About Te-Yuan Huang

Te-Yuan Huang is located at
Los Gatos, California, United States

Te-Yuan Huang is a
Te-Yuan (TY) leads the Streaming Algorithm team at Netflix, improving Quality of Experience through adaptive bitrate algorithms. Besides ABR algorithm designs, my team also instruments the joint-optimizations between OpenConnect (Netflix's CDN), Video Encoding Algorithms, and Netflix players. This effort improves our operational efficiency, enables better tooling, and advances our understanding on the interactions between the sub-systems in the Netflix video delivery pipeline. TY also serves the computer networking research community ACM SIGCOMM as a member of technical program committee for various conferences and as a liaison for N2Women (Networking Networking Women), advising SIGCOMM's inclusive and diversity effort. In 2016, TY was listed as one of the "10 Women in Networking/Communications That You Should Watch" by ACM/IEEE N2Women (Networking Networking Women). Outside of the professional domain, TY is active in various community services. At Netflix, TY serves in AEN (Asian Employees at Netflix) and leads cultural activities to foster better understanding of Asian culture within the company. Outside Netflix, TY served Taiwanese American community as a board member in TAITA (Taiwanese American Industrial Technology Association). Prior to Netflix, TY did her PhD research on the designs of video adaptive bitrate algorithm, understanding their interactions with TCP congestion control at Stanford. During her PhD, TY was also heavily involved in the early stage of OpenFlow and SDN research. Her thesis was advised by Prof. Nick McKeown and Prof. Ramesh Johari. Netflix

Te-Yuan Huang currently works in the
Netflix

Te-Yuan Huang specializes in
Te-Yuan (TY) leads the Streaming Algorithm team at Netflix, improving Quality of Experience through adaptive bitrate algorithms. Besides ABR algorithm designs, my team also instruments the joint-optimizations between OpenConnect (Netflix's CDN), Video Encoding Algorithms, and Netflix players. This effort improves our operational efficiency, enables better tooling, and advances our understanding on the interactions between the sub-systems in the Netflix video delivery pipeline. TY also serves the computer networking research community ACM SIGCOMM as a member of technical program committee for various conferences and as a liaison for N2Women (Networking Networking Women), advising SIGCOMM's inclusive and diversity effort. In 2016, TY was listed as one of the "10 Women in Networking/Communications That You Should Watch" by ACM/IEEE N2Women (Networking Networking Women). Outside of the professional domain, TY is active in various community services. At Netflix, TY serves in AEN (Asian Employees at Netflix) and leads cultural activities to foster better understanding of Asian culture within the company. Outside Netflix, TY served Taiwanese American community as a board member in TAITA (Taiwanese American Industrial Technology Association). Prior to Netflix, TY did her PhD research on the designs of video adaptive bitrate algorithm, understanding their interactions with TCP congestion control at Stanford. During her PhD, TY was also heavily involved in the early stage of OpenFlow and SDN research. Her thesis was advised by Prof. Nick McKeown and Prof. Ramesh Johari.