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Location:
Rio Rancho, NM
Posted:
February 01, 2017

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Resume:

Yuan-Yen Tai, Ph.D

: U.S. Green Card Holder. : +1-713-***-****. : *********@*****.***. : http://dr-tai.net

: ** ********** ******, *******, ** 02176. : https://www.linkedin.com/in/yuan-yen-tai-5652ab112

: https://github.com/Anrris : https://leetcode.com/yuan-yen/. Feel free to contact. PERSONAL SUMMARY:

As a computational physicist, skilled programmer, data scientist and life hacker, I have over ten years of experience in the advanced quantitative research domain with a strong base of data structure and algorithm fundamentals. I am experienced in dealing with high computational complexity systems, familiar with con- temporary programming and OOP concepts to design e ective models and API with machine learning/data science knowledge to solve large scale puzzles.

PROFESSIONS & SKILLS:

Programming: C++ (10+year), Python (6+year), Java (previous experience), Matlab (use when needed), iOS+Swift (side project experience), Javascript (small web project experience).

Domain knowledge: Cross-platform programming, GPU computing, Analytical skills for various physics/numerical models, Multi-scale physics modeling, Algorithms and Data structure.

Data science: Machine Learning knowledge and algorithms, HDFS, MapReduce, Spark, SQL, Abili- ties to deal with messy data source.

Certi cations: Machine Learning (MW8G4SNW9VRN), Hadoop Platform and Application Frame- work (6D94G4PGCK2A).

EDUCATION:

University of Houston, Houston, TX, USA May 2014 (Graduated) Doctor of Philosophy, Physics - Condensed Matter Theory speciallization

Being Awarded TcSUH Semiannual Student Symposium 1st Place 2013

Being Awarded TcSUH Semiannual Student Symposium 3rd Place 2011 National Chung Hsing University, Taichung, Taiwan June 2004 (Graduated) Bachelor of Science, Physics

Being Awarded Chung Hsing Physics Award 2nd Place 2004 EXPERIENCE:

Los Alamos National Lab. - Postdoctoral researcher July 2014 { Feb 2017

Developed a C++ numerical package (named TBM3) for multi-dimension quantum physics modeling.

Hands on experience with LANL high performance computing (HPC) platform with GPU calculations.

Published ve peer-reviewed paper.

University of Houston. - Research assistant, Student 2011 { 2014

Developed a highly reusable C++ interface (named GraMat) to the GPU based linear algebra library.

Published ve peer-reviewed paper.

Served as a leader in University of Houston Taiwanese Student Association (UHTSA). Academia Sinica, Taipei Taiwan. - Research assistant 2006 { 2008

Applied DFT calculation to study the electronic transport and molecular behavior. National Chung Hsing University, Taiwan. - Research assistant, Student 2000 { 2004

Involved with several non-linear and fractal research, and developed an IFS iteration system in C++.

Designed a new numerical model in using Levy statistics to study the DNA sequence.

Published one peer-reviewed paper.

Served as a leader in NCHU String and Piano club and taught piano skills to the club members. PROGRAMMING DEVELOPMENT (work related):

TBM3: started at 2015 July

Tight Binding Model for Materials at Mesoscale is a C++ based package and framework that I designed to simulate the complex system with multi-orbital and spin degrees of freedom on any kind of lattice structure. It is using abinitio-MD-like fast algorithms and the GPU power to calculate the nano-scale electronic structure and magnetism, solving interactions self-consistently. Please see: https://github.com/TDIV/TBM3 .

GraMat: started around 2011

Graphic Card Matrix Interface is a library that I developed during my Ph.D study. This library can help boost the use of the GPU based matrix library which solves linear algebra equations. GraMat integrate single, double, single-complex and double-complex

oating variable and provide a uni ed interface for the basic matrix operation.

Please see: https://github.com/Anrris/Gramat .

SIDE PROJECT (personal hobby):

Developing an online graphical communication tool: started 2016 Feb I teamed up with other two friends trying to develop a back-end to front-end system aiming to improve the online educations. We adopted the AWS EC2 platform as the back-end server running the node.js applications for the communication of iOS and Android devices. I designed the front-end iOS app in Swift language as a working/testing interface and designed the data transmit structure in JSON. Techniques been used: AWS, node.js, iOS+Swift, Android+Java, JSON.

Created a terminal tool, BASH-portal: in 2014

The ‘change directory’ (cd) is a necessary but tedious way for one to navigate through the terminal in the Unix/Linux/MacOS systems. Therefore, I developed a handy tool to creat and memorize marks that helps e ciently navigate in multi-folders. Please see: https://github.com/Anrris/bash-portal Techniques been used: BASH, Python.

Created a service website for UHTSA: in 2011

During the time I served the leader role in the University of Houston Taiwanese Student Association

(UHTSA), I noticed that there could be a better way to help the Taiwanese students when they rstly landing to Houston. Therefore, I created a service website in using the Google Application Engine

(GAE) back-end to handle the ‘ rst-landing-request’ for the new coming Taiwanese students. Techniques been used: GAE, Python, HTML5+Javascript.

Created a GRE/TOEFL word training app on Windows OS: in 2008 At the time I prepare for the application of my study abroad Ph.D degree. I noticed it is di cult to memorize a large amount of the English words in a short time for the GRE/TOEFL tests. Therefore, I designed a simple app that helps myself to memorize thousands of new english word in an e cient way. This program is written in C++ with wxWidgets API as a cross-platform compilable code. The english words stored in a local le created by SQLite library. Techniques been used: C++, wxWidgets, cross-platform compilation, SQLite. SCIENTIFIC PUBLICATIONS:

1. Yuan-Yen Tai and Jian-Xin Zhu, arXiv:1603.03107. 2. Yuan-Yen Tai, H. Choi, T. Ahmed, C. S. Ting, and J.-X. Zhu, PRB 92, 174514 (2015). 3. Yuan-Yen Tai, C.-C. J. Wang, M. J. Graf, J.-X. Zhu and C. S. Ting, PRB 91, 041111(R) (2015). 4. Y. Zhao, Yuan-Yen Tai and C. S. Ting, PRB 91, 205110 (2015). 5. Bo Li, Lihua Pan, Yuan-Yen Tai, M. J. Graf, J.-X. Zhu, K. E. Bassler, and C. S. Ting, PRB 90, 220509(R) (2015).

6. Y. Fang, Yuan-Yen Tai, J. Deng, C. Wu, X. Ding, J. Sun and E. K H Salje, Supercond. Sci. Technol. 28 095004 (2015).

7. L. Pan, J. Li, Yuan-Yen Tai, M. J. Graf, J.-X. Zhu and C. S. Ting, PRB 90, 134501 (2014). 8. L. Pan, J. Li, Yuan-Yen Tai, M. J. Graf, J.-X. Zhu and C. S. Ting, PRB 88, 214510 (2013). 9. H. Chen, Yuan-Yen Tai, C. S. Ting, M. J. Graf, J. Dai and J.-X. Zhu, PRB 88, 184509 (2013). 10. Yuan-Yen Tai, J.-X. Zhu, M. J. Graf and C. S. Ting, EPL 103, 67001 (2013). 11. Yuan-Yen Tai, J.-X. Zhu, M. J. Graf and C. S. Ting, PRB 86, 134512 (2012). 12. Yuan-Yen Tai, P.-C. Li and H.-C. Tseng, Physica A 369, 688 (2006).



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