I'm a Lecturer in Machine Learning at the University of Glasgow and a member of the Terrier Team. I did my PhD at Georgetown University under Nazli Goharian and Ophir Frieder, where I was a member of the IR Lab and an ARCS Endowed Scholar. My research focuses on applying machine learning to problems in IR and NLP. I've done research internships at AI2, CNR, Adobe, and MPI-INF. Before graduate school, I worked as a software developer at IIT/SourceTech.
I am currently looking for PhD students. Please contact me if interested.
News
Our SIGIR 2023 paper The Information Retrieval Experiment Platform received the Best Paper Award
Our ECIR 2023 paper Doc2Query--: When Less is More received the Best Short Paper Award
I'm starting as a Lecturer in Machine Learning at the University of Glasgow in December
I was awarded the Georgetown IR Lab Outstanding Service Award
I successfully defended my PhD dissertation
I was awarded the AI2 Intern of the Year Award
With Arman Cohan and Nazli Goharian, we rocked Rounds 1 and 2 of COVID-Search
I had three papers accepted at SIGIR 2020
I passed my dissertation proposal
I've released OpenNIR as a demo at WSDM 2020
I'll be interning at AI2 this spring/summer in Seattle remotely
I had three papers accepted at SIGIR 2019
I was awarded the MWC ARCS Endowment Fellowship for 2019-20
I presented at the Workshop on Computing for Physical and Mental Health
Our SMHD poster won first place at the 2018 ICBI Symposium
Our paper Overcoming Low-Utility Facets for Complex Answer Retrieval was accepted in the Information Retrieval Journal Special Issue on Knowledge Graphs and Semantics in Text Analysis and Retrieval
Our Self-reported Mental Health Diagnoses paper is recognized as an Area Chair Favorite Paper at COLING 2018
I'll be presenting my work at SIGIR 2018 and NAACL 2018
I'll be interning at Adobe Research this summer
Our Contextualized PACRR model performed well at TREC CAR 2017
I was awarded best poster (2nd place) at the 2017 ICBI Symposium
