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Summer Training in Arts & Sciences Research (STAR) Program

The Summer Training in Arts & Sciences Research (STAR) program supports undergraduate students as they conduct summer research projects and is generously funded by the A&S Advisory Board.

Olivia Atkins ’23, biology & biotechnology

Advisor: Scarlet Shell, assistant professor of biology & biotechnology

Eugena Choi ’24, environmental & sustainability studies and environmental engineering

Advisor: William San Martin, assistant teaching professor of humanities & arts

Elizabeth Koptsev ’22, psychological science

Advisor: Angela Rodriguez, assistant professor of social science & policy studies

Brock Jolicoeur ’22, physics

Advisor: David Medich, associate professor of physics

Michelle Pan ’22, biology & biotechnology

Advisor: Inna Nechipurenko, assistant professor of biology & biotechnology

Mohammed Mohammed, ’22, chemistry & international studies

Advisor: Crystal Brown, assistant professor of social science & policy studies

DraftKings Fellowship Awards

The DraftKings Fellowships are made possible by a generous gift from the DraftKings corporation to support work that elevates the impact of advanced research in information science and technology; each student also works with a faculty advisor.

Victoria Mirecki ‘22

Advisor: Gillian Smith, associate professor of computer science

Katie Houskeeper ‘23

Advisor: Elke Rundensteiner, professor of computer science

 

Clare Booth Luce Research Scholars

WPI is committed to encouraging and supporting women in fields in which they are traditionally underrepresented. As part of that effort, the School of Arts & Sciences provides research awards to support undergraduate women in math, computer science, physics, and robotics engineering.

These research awards were made possible through a Clare Booth Luce Research Scholar grant from the Henry Luce Foundation. WPI’s Clare Boothe Luce Research Scholars are selected based on academic excellence and the perceived quality of their proposed research projects, and are mentored by women WPI faculty throughout their research experience.  

WPI selected eight Clare Boothe Luce Research scholars for the 2018-2019 academic year. WPI will support the scholars, mentors, and research advisors as they undertake research projects that will enrich the students' educational experiences. These scholars join the students who were previously selected as scholars for the 2016-2017 and 2017-2018 academic years (see below). 

Recent Clare Booth Luce Research Scholars

Alexandra Auteri
Class of 2020
Mathematical Sciences
Mentor & Research Advisor: Sarah Olson​

Alexis Buzzell
Class of 2020
Physics
Mentor & Research Advisor: Lyubov Titova

Olivia Gulezian
Class of 2020
Mathematical Sciences
Mentor & Research Advisor: Suzanne Weekes​​

Fareya Ikram
Class of 2020
Computer Science
Mentor: Suzanne Weekes
Research Advisor: Gillian Smith

Leah Mitchell
Class of 2020
Mathematical Sciences
Mentor: Suzanne Weekes
Research Advisor: Andrea Arnold

Erin Morissette
Class of 2019
Physics
Mentor: Lyubov Titova
Research Advisors: Ron Grimm & Lyubov Titova

MaryAnn VanValkenburg
Class of 2019
Computer Science
Mentor: Suzanne Weekes
Research Advisor: Dan Dougherty

Bryannah Voydatch
Class of 2019
Physics
Mentor & Research Advisor: Lyubov Titova

Karitta (Kit) Christina Grand Zellerbach
Class of 2019
Computer Science
Mentor & Research Advisor: Carolina Ruiz

  • 2017-2018 Scholars

    Hannah Kraus
    Class of 2018
    Mathematical Sciences
    Mentor & Research Advisor: Sarah Olson
     
    Caroline Johnston

    Class of 2019
    Mathematical Sciences
    Mentor: Suzanne Weekes
    Research Advisor: Andrew Trapp
     
    Toni Joy

    Class of 2019
    Mathematical Sciences
    Mentor and Research Advisor: Suzanne Weekes

    Erin Morissette
    Class of 2019
    Physics
    Mentor: Lyubov Titova
    Research Advisors: Lyubov Titova and Ron Grimm
     
    Sierra Palmer

    Class of 2019
    Robotics Engineering
    Mentor: Carolina Ruiz
    Research Advisor: Carlo Pinciroli
     
    Aline Tomasian

    Class of 2018
    Physics
    Mentor: Lyubov Titova
    Research Advisor: Izabela Stroe
     
    MaryAnn VanValkenburg

    Class of 2019
    Mathematical Sciences and Computer Science
    Mentor & Research Advisor: Carolina Ruiz
     
    Sarah Ma

    Class of 2018
    Mathematical Sciences
    Mentor & Research Advisor: Sarah Olson

  • 2016-2017 Scholars

    Shannon Feeley
    Class of 2017
    Mathematical Sciences
    Mentor: Suzanne Weekes, Professor of Mathematical Sciences

    Research Project: Search and Rescue Planning: When a search and rescue incident occurs, it is imperative to find survivors as quickly as possible.  The uncertainty in the survivors' location usually increases with time, and their likelihood of survival decreases with time.  This project will research the methods that are used to identify the most efficient way to maximize the likelihood of locating survivors.  

    Katie Gandomi
    Class of 2017
    Robotics Engineering
    Mentor: Carolina Ruiz, Associate Professor of Computer Science

    Research Project: Autonomous Delivery with Unmanned Aerial Vehicles: As e-commerce companies like Amazon and Ebay grow, there is a demand to have products delivered from factories into the hands of customers faster than ever. With the help of autonomous quadrotor transport, packages could be at your doorstep within hours as small drones are deployed and organized into a complex network of delivery-robots.

    In this research project, the mechanical, electrical and software aspects of this problem are explored as well as the artificial intelligence and machine learning behind the master control unit that organizes and deploys the robots.     

    Amanda Leahy
    Class of 2018
    Physics
    Mentor: Lyubov Titova, Assistant Professor of Physics

    Research Project: Use of Gafchromic Film for Brachytherapy Source Characterization: This project will investigate the use of Yb-169 in High Dose Rate brachytherapy using Gafchromic film. The Gafchromic film will be used to measure the radiation output of Yb-169. The results will be compared to Ir-192, currently the most common isotope used in brachytherapy. 

    Holly Nguyen
    Class of 2018
    Computer Science
    Mentor: Carolina Ruiz, Associate Professor of Computer Science

    Research Project: Personalized Computational Tools to Foster Better Sleep Habits in College: This research project involves the design, implementation and use of algorithms and computational tools in a mobile app to improve sleep behavior in college students. The app enables users to track their sleep schedule (as well as caffeine intake and exercise), receive graphical feedback and tailored advice based on personality and chronotype, and adopt healthier sleep behaviors.

    The project covers a wide range of computational aspects (including the design and implementation of mobile apps, data mining and predictive analytics), as well as medical and psychology aspects (including healthy behaviors, personality types, behavioral change, feedback and interventions).

    Aline Tomasian
    Class of 2018
    Physics
    Mentor: Lyubov Titova, Assistant Professor of Physics

    Research Project: Structural changes and the movement of proteins in the aqueous cellular environment play an essential role in biological processes. This research project will use spectroscopic techniques to uncover a complete picture of protein dynamics, focusing specifically on amyloidogenic proteins related to Alzheimer's Disease and Type II Diabetes.  

    Hope Wallace
    Class of 2018
    Computer Science
    Mentor: Kathi Fisler, Professor of Computer Science

    Research Project: Predicting Exergame Enjoyment: This project aims to create a recommendation system for mobile exercise games (exergames) in order to encourage people to continue playing them and therefore lead healthier lifestyles. The first phase of this project will create a taxonomy for mobile exergames and create a questionnaire to measure exergame enjoyment.  

    Natalie Wellen
    Class of 2017
    Mathematical Sciences
    Mentor: Suzanne Weekes, Professor of Mathematical Sciences

    Research Project: Systemic Risk Analysis of the OTC Market: Some of the major questions in the financial industry today are what are the next regulations going to be and how will they affect the markets? The goal of this research is to create a model of the Over the Counter Derivatives Market, and specifically to apply Central Clearing Parties to this model, a form of regulation imposed in the Dodd-Frank Act.