Senior undergraduate applying for a Ph.D. degree in Computational Neuroscience
I am a final year undergraduate student from Xi'an Jiaotong University, China, majoring in Automation, preparing for Ph.D. application of 2018 Fall. I take comprehensive curriculum with strong EECS background, keep top ranked with cGPA ~89/100 and multiple research experiences, hoping to join a comprehensive, interdisciplinary neuroscience Ph.D. program with computational emphasis. I am willing to practice both theoretical and experimental approaches from a neuroscientist's perspective in future research.
My major in Automation Science is a top program and the most suitable undergraduate training for neuroscience research with a computational approach in China. Equipped with advanced maths, statistics and physics, General Chem/Bio/Psych courses, CS-related practical programming skills, EE-related engineering theories like signal processing and pattern recognition, I also take graduate courses of Computational Neuroscience, Machine Learning, and Quantum Computing and get high grades during my exchange semester, where I was motivated to study neuroscience. My previous research experience covers aspects of pattern recognition and deep learning, while recently interned in a brain research lab in Chinese Academy of Science, studying criticality with collective behavioral approach while modeling neural activities and complex systems.
The goal for me to study neuroscience is to explain the gap between physical facts and intelligence, understand the brain computationally and improve computation techniques, which requires an in-depth understanding of neuroscience. My undergraduate training in Automation basically provides skill sets for analyzing and processing neural data and knowledge foundation for neuroinformatics. I am also a quick learner to familiar with the biology foundations. Personally, I hope to expose to both experimental and theoretical study. I am prepared (with passion) to do computational neuroscience research with practical experience and multiple-area-inspired approaches. I believe my experience in computation and modeling, my passion in exploring neuroscience and as a quick learner will certainly make contributions to the research.
Please see below for my CV.
B.S. in Automation Science and Technology @ Xi'an Jiaotong University Sep. 2014 - est. June 2018
Exchange Semester in Electrical Engineering @ National Tsing Hua University Feb. 2017 - June 2017
Honors Youth Program - Preparatory Year Two @ Xi'an Jiaotong University Sep. 2013 - Sep. 2014
Honors Youth Program - Preparatory Year One @ Suzhou High School Sep. 2012 - Sep. 2013
XJTU Honors Youth Program ( aka. Special Class for the Gifted Young or the Juvenile Class, Link to Wikipedia ) is one of the only two programs of its kind in China. Approved by Ministry of Education in 1985, Xi'an Jiaotong University started to recruit students nationwide for the Program. The purpose is to pilot in innovation and quality education reformation, to choose juveniles with extraordinary intelligence, extensive and profound knowledge, good moral character and the spirit of innovation, and to produce excellent talents for world-class scientific research and innovation. Students in the Program take two years of preparatory class (one in selected high school, one in XJTU) instead of typical 3-year high school in China, and directly enter the university. There is rigorous mechanism of selection through competition.
Undergraduate Thesis in Computational Neuroscience
Mar. 2018 - est. June 2018
Brainnetome Center and National Laboratory of Pattern Recognition
Institute of Automation, Chinese Academy of Sciences (NLPR, CASIA)
Internship for Computational Neuroscience in XJTU-CASIA Elite Class Program
Jul. 2017 - Dec. 2017
Brainnetome Center and National Laboratory of Pattern Recognition
Institute of Automation, Chinese Academy of Sciences (NLPR, CASIA)
Undergraduate Researcher for Face Recognition and Tracking
Sep. 2016 - Dec. 2016
National Engineering Laboratory for Visual Information Processing and Application, Xi'an Jiaotong University
Internship for Neural Machine Translation in XJTU-CASIA Elite Class Program
Jul. 2016 - Aug. 2016
National Laboratory of Pattern Recognition
Institute of Automation, Chinese Academy of Sciences (NLPR, CASIA)
Undergraduate Researcher for Human Recognition and Tracking in Sports Videos in ITP (XJTU Information-technology Talent Program)
Jan. 2016 - June. 2016
National Engineering Laboratory for Visual Information Processing and Application, Xi'an Jiaotong University
Neuroscience with Computational or Experimental Approach
MAIN AREA TO FOLLOW
Theories and applications of Machine Learning and Artificial Intelligence
MAIN METHODS TO USE
Interdisciplinary areas
WITH COMPUTER SCIENCE AND ELECTRICAL ENGINEERING