Yuan Huang
Frontend DeveloperAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Research Scientist at DP Technology
Machine learning engineer at Facebook. Summer 2017 Insight Data Science Fellow. PhD in Quantum Information from University of Science and Technology of China, and PhD in Condensed Matter Physics from University of Massachusetts, Amherst. - 8 years of experience in quantitative scientific research: modeling, Monte Carlo simulations, data processing, statistical analysis, and visualization. - Strong mathematical and statistical skills. - Worked with a large variety of machine learning techniques, including predictive modeling, natural language processing, convolutional neural network, recurrent neural network, social network analysis, recommending systems, Bayesian analysis and hierarchical modeling.
University of Massachusetts Amherst
Doctor of Philosophy - PhD, Physics
January 1, 2012 – January 1, 2018
University of Science and Technology of China
Doctor of Philosophy (Ph.D.), Quantum Infomation Physics
January 1, 2011 – January 1, 2016
University of Science and Technology of China
Bachelor’s Degree, Physics
January 1, 2007 – January 1, 2011
DP Technology
Senior Research Scientist
April 1, 2025 – Present
Beijing, China · On-site
Meta
Senior Research Scientist
April 1, 2020 – April 1, 2025
New York, United States
Dia&Co
Lead Machine Learning Engineer
January 1, 2019 – April 1, 2020
Dia&Co
Machine Learning Engineer
January 1, 2018 – December 1, 2018
Insight Data Science
Insight Data Science fellow
May 1, 2017 – August 1, 2017
New York, New York
University of Massachusetts Amherst
Graduate Research and Teaching Assistant
September 1, 2012 – March 1, 2018
Amherst, Massachusetts
University of Science and Technology of China
Graduate Research Fellow
September 1, 2011 – June 1, 2016
Hefei, Anhui, China
Wuzhishan Culture Media Co., LTD
Freelance Business Management System Development
January 1, 2011 – July 1, 2011
Beijing City, China
Quora Question Pair Kaggle Competition
May 1, 2017 – June 1, 2017
- Team (of 7 members) won silver medal with rank 41 among 3396 teams (Top 1.3%) - Constructed hundreds of features using tf-idf, POS tagging, sentiment analysis, word2vec and wordnet - Built a stacked model with gradient boosted trees and neural networks to detect duplicate question pairs
Academic Paper Mining Based On Citation Network Analysis
January 1, 2017 – August 1, 2017
- Collected physics articles citation data from APS journal to construct a physics article citation network (≥ 27K articles) - Applied a novel hierarchical clustering algorithm to detect physics research communities - Built an interactive visualization website (using D3.js and Flask) to help researchers to identify influential articles and researchers in their communities
Robotics Competition
March 1, 2009 – November 1, 2009
Worked in a group of five, designed and implemented a gymnastic robot. * Designed and built the electronic circuit. * Implemented the code for the 8051 microcontroller. * Designed the Gorilla-shape appearance for the robot. * Won the championship in the competition.
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Probabilistic Graphical Models 2: Inference
Coursera
June 24, 2026 – Present
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Probabilistic Graphical Models 1: Representation
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards research science and machine learning, with significant experience at large tech companies like Meta. While there's a project involving D3.js and Flask, the overall profile does not strongly align with a dedicated 'Frontend Developer' role, which typically requires deep expertise in modern frontend frameworks (React, Angular, Vue), state management, build tools, and UI/UX principles. The projects demonstrate a strong academic and data science culture, which might require adjustment to a pure frontend engineering culture. The diversity of projects (physics, robotics, ML competitions) shows adaptability, but the core focus is not frontend.
Soft Skills & Operational Fit
The candidate's project descriptions indicate strong analytical and problem-solving skills, as well as experience in team collaboration (Robotics Competition, Quora Kaggle). The ERP system project shows client communication and project leadership. However, without specific psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is limited.