Director of Emerging Technology (Data Scientist)

• Jan 2021 - Present

Senior Data Scientist

• Apr 2019 - Dec 2020

Research Collaborator at Machine Learning and Bioinformatic Group

• Apr 2014 - Present

- Applied state-of-the-art machine learning algorithms to develop a recommender system for movies using twitter data. - Implemented text classifiers with Weka using support vector machine (SVM) and Naïve Bayes algorithms to predict sentiments on social media. - Imported and process millions of tweets into a database using MySQL and PostgreSQL and created SQL queries to extract and analyze data. - Methods implemented and tested: Logistic regression, support vector machine, Domain_adaptation, clustering and collaborative filtering. - Use of machine learning, data mining, and natural language processing to import, process and classifying disaster-related twitter data to extract actionable information for disaster responders. - Review status of the research and prepare and publish research papers related with machine learning.

Senior Data Scientist

• Sep 2015 - Mar 2019

Technical lead on client projects in specific geographic market, interacting with the clients, understanding their business needs and devising appropriate technical solutions. Responsibilities: (but not limited to):• Building predictive and data mining models, and conduct social network analysis for assigned projects.• Collaborating with company product and engineering teams to implement data science solutions for clients in production.• Leading data science research initiatives and working with academic researchers.• Contributing to the improvement of company data science infrastructure, such as the robustness of ETL and monitoring systems.

Data Science Fellow

• Jun 2015 - Jul 2015

The Data Incubator is an intensive 7 week fellowship that prepares the best scientists and engineers with advanced degrees to work as data scientists and quants. We completed several industry-related projects covering the topics: SQL, web scraping, graphs, machine learning, natural language processing, time series, mapreduce, and Spark.Projects:- Social Network Analysis: create a social network using photo captions from a New York socialite blog. Crawled, extracted and parsed more than 200,000 captions to model popularity and connections among 100,000 event guests- SQL and statistical analysis: aggregate databases containing more than 500,000 NYC inspections data using SQL to extract statistics about inspection grades and violation across various locations and cuisines- Machine learning and NLP: implementation of a machine learning algorithm to predict Yelp ratings of new venues using Yelp metadata on over 38,000 venues and over 1,000,000 Yelp reviews- Time Series Analysis: Develop a time series model to predict temperature in major US cities based on Fourier analysis of historical weather data containing more than 500,000 time points in 12 years- Mapreduce, mrjob and AWS: Analyzed character entropy of English (320 MB) and Thai (900 MB) Wikipedia using Mapreduce(mrjob) on AWS EMR to extract ngram statistics

Research Associate

• Jul 2010 - May 2013

Computational and theoretical studies of few-body collision processes at ultracold temperatures: Implementation of algorithms in Fortran to improve performance for large eigenvalue problems using the time independent Schrodinger equation; Computational analysis of the interaction of strong laser field with molecules: Development and implementation of Fortran codes; Prepared and taught several recitation and studio courses for undergraduate students: General Physics I and II and Descriptive Physics.

Research Associate

• Sep 2009 - Jun 2010

Study of charge exchange processes in electromagnetic fields. Implementation of Fortran and Python codes to solve many body collision processes at different temperatures. Provided mentoring to graduate students in the research group. Study of charge exchange processes in electromagnetic fields. Implementation of Fortran and Python codes to solve many body collision processes at different temperatures. Provided mentoring to graduate students in the research group.

Research Associate

• Jun 2007 - Aug 2009

Study of dynamical processes in atom and ion collisions with small molecules: Implementation and debugging of codes in Fortran and Python to run calculations in a High Performance Computing (HPC) infrastructure solving the time-dependent Schrodinger equation; Provided mentoring to undergraduate and graduate students in the research group. Study of dynamical processes in atom and ion collisions with small molecules: Implementation and debugging of codes in Fortran and Python to run calculations in a High Performance Computing (HPC) infrastructure solving the time-dependent Schrodinger equation; Provided mentoring to undergraduate and graduate students in the research group.

Research Associate

• Sep 2003 - Apr 2007

Investigation of one and two-electron molecular systems in strong magnetic fields; Investigation of different strategies to perform parallel calculations using MPI and Graphics Processing Units (GPU); Implementation of algorithms in Fortran and C++ to improve performance for multidimensional integration problems. Implementation of different variational functions using symbolic computation with MAPLE. Investigation of one and two-electron molecular systems in strong magnetic fields; Investigation of different strategies to perform parallel calculations using MPI and Graphics Processing Units (GPU); Implementation of algorithms in Fortran and C++ to improve performance for multidimensional integration problems. Implementation of different variational functions using symbolic computation with MAPLE.

Assistant Professor

• Sep 1996 - Aug 2001

Prepared and taught different general physics laboratories for undergraduate students: General Physics I, II and III; Developed and implemented new graph-based descriptors for predicting the properties and activities of molecules. Used statistic methods to analyze data: Multiple Linear Regression (MLR) and Neural Network methods to develop QSAR/QSPR models. Prepared and taught different general physics laboratories for undergraduate students: General Physics I, II and III; Developed and implemented new graph-based descriptors for predicting the properties and activities of molecules. Used statistic methods to analyze data: Multiple Linear Regression (MLR) and Neural Network methods to develop QSAR/QSPR models.