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Using ML/NLP to Identify Relationships and Similarities in Grant Proposal Texts

Machine Learning and Natural Language Processing team poster

Student Participants

Prince Ahmed
Rose DiPietro
Quan Doan
Rodrigo Guerreiro
Christopher Hall - Program Staff
Julie Ou
Isabelle Xiong

Project Leads

Andy Ingham
Mark McCahill

Project Managers

Peining Yang

Year

2022

Description: 

A team of students will work with Duke’s Office of Information Technology (OIT), Office for Research & Innovation (OR&I) and Computer Science faculty to develop a system that would enable OR&I to  get an objective answer to questions such as, How does the grant you’re proposing relate to other funded research of yours or of other faculty at Duke? or Is there overlap between my proposal and another proposal that a federal agency is reviewing?  

The students will use Machine Learning (ML)/Artificial Intelligence (AI) and Natural Language Processing (NLP) techniques on proposal abstracts and/or other grant-related materials to identify potential connections  and similar metrics among research proposals. 

Sponsored by Duke Research & Innovation.

Watch the team's final presentation on YouTube.

Student Participants: 

Julie

Ou

Julie Ou
Major: 
Computer Science, Psychology
Minor: 
Music
Class: 
Rising Sophomore
Graduation Year: 
2025

I'm from Vancouver, Canada. I enjoy listening to music or an episode of my favourite podcast in my spare time.

Prince

Ahmed

Prince Ahmed
Major: 
Computer Science, Physics
Minor: 
Chemistry
Class: 
Rising Junior
Graduation Year: 
2024

I was born and raised in Rome but I moved to London 6 years ago. I enjoy sports and I have been part of the rowing team for the last year.

Quan

Doan

Quan Doan
Major: 
Computer Science
Class: 
Rising Junior
Graduation Year: 
2024

I'm from Greensboro, North Carolina, and I'm excited to learn more about web and mobile app development. In my free time, I love to write songs, listen to music, hang out with friends, and play soccer and basketball.

Rodrigo

Guerreiro

Rodrigo Guerreiro
Major: 
Electrical and Computer Engineering, Computer Science
Class: 
Rising Sophomore
Graduation Year: 
2025

I'm from São Paulo, Brazil. I'm a huge enjoyer of music (I play the bass guitar, and I'm a huge Taylor Swift fan) and of MCU movies.

Rose

DiPietro

Rose DiPietro
Major: 
Computer Science
Minor: 
Neuroscience
Class: 
Rising Junior
Graduation Year: 
2024

I am from New York City. In my spare time I like trying new foods and going on long walks.

Isabelle

Xiong

Isabelle Xiong
Major: 
Computer Science, Neurobiology
Class: 
Rising Sophomore
Graduation Year: 
2025

I’m from Vancouver, Canada. I’m passionate about intersections between technology and medicine. In my free time, I like playing FPS games, playing table tennis, and getting boba with friends.

Christopher

Hall - Program Staff

Christopher Hall
Major: 
Computer Science
Class: 
Rising Senior
Graduation Year: 
2023

Project Assistant: Christopher is a Code+ 2021 alum who is assisting all 2022 teams with engagement and issue resolution, as well as liaising with program administrators. He likes writing code, stories, and games. He geeks out about a lot of things other people think are trivial and hopes to one day work in tech at a museum.

Project Leads: 

Mark

McCahill

Mark McCahill
Department: 
Office of Information Technology
Title: 
IT Consultant

Andy

Ingham

Andy Ingham
Department: 
Office of Information Technology
Title: 
Sr. IT Analyst

Project Managers: 

Peining

Yang

Peining Yang
Department: 
Masters in Interdisciplinary Data Science (MIDS)
Title: 
Graduate Student

I am originally from Beijing, China and I went to high school in Singapore. In my free time, you can often find me on the tennis court or in my kitchen cooking and baking!