Doctoral Student Profiles

I am a Ph.D. student in WPI's Data Science program. My research interests include machine listening, music information retrieval, and recommendation systems.

My research interests focus on the application of quantitative analysis techniques and machine learning methods to explore questions related to healthcare safety and quality using electronic health record systems and facility administrative data sets.

I received my Bachelor's degree in Computer Science from Hanoi University of Science and Technology in July 2011. After that, I spent 3 years working in the industry, mostly in researching and developing backend systems and building server services for client requests. Now I am pursuing my Ph.D. in Data Science at WPI. Currently, my research interests include data science and mining for big data, and recommender systems.

After participating in the WPI Data Science REU program I have returned to WPI to pursue a PhD in Data Science. I am a member of the DAISY lab under Professor Elke Rundensteiner and hope to work on Data Science problems with impacts on the social good.

Marcela obtained the University Laureate (highest-ranked in class) while pursuing her B.S. She was awarded a Science without Borders scholarship to study for 18 months at the Université de Technologie de Compiègne, France, where she did an internship at Saint-Gobain. She implemented a route optimization tool for its 12 glass factories in Europe based on the VRPTW, including real legislation restrictions on labor for drivers from each country. She was then approved in the national DHL Trainee program (13k+ candidates) and worked in warehousing operations, continuous improvement, and project ...

I am a Data Science PhD student. I worked in industry for two years as a project manager and data analyst. My research currently focuses on time series classification.

A PhD student of Data Science who is interested in Urban Computing and Big Data.

I am Ph.D. Candidate in the Data Science program. My research interests are in Data-mining, Text-mining, Machine Learning, and Social Network Analysis. I am currently working on text mining and information extraction from post-marketing drug surveillance report narratives. I attend the Database Systems Research Group (DSRG) and my advisor is Dr. Elke A. Rundensteiner. I am also a member of the "Seeds of STEM: The Development of an Innovative Early Childhood STEM Curriculum" research project funded by the US Department of Education (Institute of Education Sciences).

I am a Ph.D. student in WPI’s Data Science program, advised by Dr. Xiangnan Kong. My current research interests include brain networks and deep learning. Education: Southwestern University of Finance and Economics, Bachelor Degree, Mathematics and Economics, 2014. Renmin University of China, Master Degree in Applied Statistics, 2017.  

I am now pursuing my PhD in Data Science in WPI. My research interests include urban big data analysis, deep learning, reinforcement learning and inverse reinforcement learning.