Dat Tien Hoang
409 Washington Avenue, apt. 1B, Brooklyn, NY 11238
U.S. Citizen
Phone: 949-813-4478
Email: [email protected]
Blog – Github – LinkedIn
Physical chemist who implements data-driven methodologies, such as computer vision, machine learning, and
spatial trajectory analysis, to study materials from video feeds. I aspire to use my skills from a decade of research
to continue solving problems using data.
Education
Columbia University in the City of New York
Ph. D. (2016), M.Phil. (2015), M.A. (2013); Physical Chemistry
University of California, Berkeley
B.Sc. (2011); Chemistry
Experience
National Science Foundation (NSF) Graduate Research Fellow
Department of Chemistry; Columbia University (2011 – Present)

Developed and employed a software suite to detect single-molecules, track their positions and rotations, and
assess their spatial trajectories from video feeds.

Deployed two graphical user interfaces (GUIs) to tailor software to the needs of collaborators.

Established an improved method for discriminating noise to observe rotating molecules.

Implemented super-resolution analysis to study polymers with improved statistical accuracy.

Wrote 3 programs that perform Monte Carlo simulations of molecular rotations, Brownian motion, and
polymer structure.

Awarded the NSF Research Fellowship (given to top 10% of Ph.D.-level researchers nationally).
Teaching Assistant
Department of Chemistry; Columbia University (2011 – 2012)

Taught a 4th-year physical chemistry course of 25 students.

Developed 15 novel educational experiments and authored a course text.

Awarded the Jack Miller Teaching Award (given to top 10% of instructors in the Dept. of Chemistry).
Research Assistant
Department of Chemistry; University of California, Berkeley (2008 – 2011)

Led collaborative projects to design materials that mitigate or detect pollutants.

Wrote several publications, and several grant proposals.
Side Projects
Assessing the Montreal – Toronto Urban Rivalry by mining the Twitter API
Quantifying Motions in my Vacation Home Movies using dense optical flow calculation
Evaluating a Spotify User’s Mood by k-means color clustering of album covers and song title sentiment analysis
Competencies / Computer Skills
Programming Python, IDL; some C++, SQL, MapReduce, R;
Statistics and Machine Learning Correlation Functions, Mean-squared Displacement Analysis, Stochastic
Simulations; Convolution, Top-hat Noise Filtering, Particle-Tracking, Super-Resolution Imaging; Curve / Surface
Fitting, Regression; openCV
Statistical Packages OriginPro Python Packages numPy, openCV, Pandas, scikit-learn, SciPy
Coursera Courses Big Data Systems and Algorithms, Practical Predictive Analytics, Machine Learning
Activities
Class Representative Graduate Student Council, Department of Chemistry; Columbia University (2011 – Present)
Treasurer Physical Chemistry Student Seminar Series; Columbia University (2011 – 2012)