Graduate - PhD

I received my Master's degree in Operation Analytics and Management from Foisie School of Business at WPI in January 2019. I am now a Ph.D. student in Data Science at WPI. My Master Project was about designing and implementing a decision-making tool for refugee resettlement in the U.S. I developed a web application named Annie(TM) which integrates integer optimization and machine learning techniques into an interactive interface. I am interested in Mathematical Optimization, Machine Learning, and Visualization.

I’m excited about designing data-driven applications to solve real-world problems. I am interested in working on using predictive analytics with big data in cybersecurity and social networks. My research interests are: data-mining, social network analysis, cybersecurity and machine learning. I do research with my advisor Dr. Elke A. Rundensteiner. Awards: King Saud University, 2nd Honor Degree (2010) King Saud University, Best graduation project in cyber security (2010)

I started my graduate studies at WPI in 2016. Since then, I have been doing multi-disciplinary research at the boundary of computational science, data science, (bio)materials, and (bio)mechanics in Bioinspired Material Design Lab and Tissue Mechanics & Mechanobiology Lab at WPI. My recent work is focused on solving complex problems in biomedical engineering using Artificial Intelligence and Machine Learning.

I am a current PhD student working on the DARPA WASH project under Elke Rundensteiner and Emmanuel Agu. My research is mainly focused on developing/testing original deep learning techniques and applying them to large datasets. My research interests include: statistics, deep learning, unsupervised and semi-supervised learning, and software development. 

I started my career using data analysis and visualization for solving security concerns, performance enhancements and infrastructure management. I joined the PhD in Data Science program in 2016. My research interests are in sensor driven complex human activity recognition and generative models to be used in patient monitoring, ailment predictions and overall healthcare improvement.

My master thesis developed novel mathematical programming methods to optimize the delivery operations of humanitarian drones in the aftermath of a disaster to serve affected areas. My research interests are in using advanced analytical techniques (operations research and data science) to handle operational challenges in humanitarian operations and health care systems. I am currently researching challenges that exist in managing migration crises through the fair and humane allocation of necessary resources.

Summer of 2019 I participated in an REU in the Mathematical Science department under the guidance of Professor Burt Tilley and Professor Randy Paffenroth with industrial sponsor General Electric Aviation. My current advisor is Professor Oren Mangoubi. My work focuses on Meta-Learning.

I am now a Ph.D. student in Data Science at WPI, working with Prof. Jacob Whitehill. My research interests include machine learning, deep learning, speaker diarization, and computer vision.

I am a current Ph.D. student in data science at WPI working with Elke Rundensteiner. I am interested in intent recognition and anomaly detection to automate the data life cycle. 

I am a Ph.D. student advised by Professor Rundensteiner and I'm a member of Daisy lab. My research interest include self-supervised learning, weakly supervised learning and nature language processing.

I am currently a Ph.D. candidate in Department of Data Science at Worcester Polytechnic Institute. My research interests include: operations research, mathematical optimization, market design, mechanism design, biostatistics, and machine learning. I am currently working on developing a resource sharing system to help solve the challenge of resource scarcity and empower the collective impact in the nonprofit sector. The work also addresses efficiency, interpretability, and fairness.

I am a current Data Science PhD student in the DAISY lab under the supervision of Professor Elke Rundensteiner. My current research is focused on deep learning image analysis with the Army Research Lab for corrosion assessment. I have an interest in deep learning applications for imaging, particularly medical imaging. 

 I am a PhD candidate in data science program at WPI. I completed my MS at WPI as a Fulbright scholar. After my BS, I have worked for three years in telecommunication industry as a BI developer and database administrator.  My research interests include using machine learning techniques on big data and design visual analytical systems to help domain experts analyze their data effectively.

I am a Ph.D. student in the Data Science. My current interests are in database system, and distributed system.  

I am a Ph.D. student in the Data Science program. Research interest are latent variable detection on big covariance matrix using Graphical LASSO and Matrix Completion technique.

I am Ph.D. student in the Data Science program. My current interests are in mathematical optimization, user experience experiment and eye tracking techniques.

Data Science PhD student in Worcester Polytechnic Institute. Professional knowledge in Data Mining, Machine Learning and Statistical Data Analysis, especially with spatial temporal data. Two years experience in high tech company in US. Great team player with skills in multi-tasking and problem solving.

I am a Ph.D. student of Department of Data Science, Worcester Polytechnic Institute. I work under the supervision of Dr. Xiangnan Kong from August, 2016

After studying mathematics and working as a software developer and then as a software support engineer, Oluseun seeks ways to combine both experiences in Data Science.

I am a Ph.D. student in the Data Science Program at Worcester Polytechnic Institute. My general research interests include urban data analysis and reinforcement learning. I am a member of DSRG, working with Prof. Yanhua Li.

Allison is a PhD candidate in the Data Science Research Group at WPI working under Professor Elke Rundensteiner. She is currently working on the Scalable Event Trend Analytics project.

I am a current data science Ph.D. student working with Professor Rundensteiner on using machine and deep learning algorithms for mental illness screening.  

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.  

My work focuses on building data systems that help machine learning practitioners to construct training data, such as labeling and cleaning training data. Towards this goal, my research leverages machine learning techniques such as semi-supervised learning, active learning, outlier detection, etc.

I am a Ph.D. student in WPI's Data Science program. My research interests include machine learning, deep learning, time series analysis, and distributed databases.

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. 

I received my Master's degree in Business Analytics from the Univesity of Texas at Dallas. I am now a Ph.D. student majoring in Data Science at WPI, working with Prof. Elke Rundensteiner. My research interests include natural language processing, model interpretability, multi-task learning, and weakly supervised learning.

I find great satisfaction mining through mounds of data to uncover gems of knowledge that have the potential to save lives. I’ve worn many hats to provide support for oncology and mental health disorders in the pharmaceutical space. In drug discovery, I’ve analyzed genomic data to design more efficacious drug targets. In translational medicine, I’ve identified clinical biomarkers for predicting treatment response. As a statistician, I’ve provided planning and analysis for clinical trials. During my free time, I enjoy doing calisthenics - a specific bodyweight workout class similar to ...