News
[March 2024]
Selected as a
"Women Executive Shadow Program" at Adobe and start working with amazing mentor,
Nathan Farner!
[Dec 2023]
Our most comprehensvie work "Early Attrition Prediction for Web-Based Interpretation Bias Modification to Reduce Anxious Thinking: A Machine Learning Study" work has been accepted to JMIR Mental Health 2024.
[Dec 2023]
I am attending at
NeurIPS let's connect.
[Jan 2023]
Starting working on MLLM to build "agentic experience".
[June 2022]
Passed my Ph.D thesis defense!!!! :)
[April 2022]
Awarded Louic T. Rader Outstanding Graduate Student!
[March 2022]
My reflection on
Teaching Fellow Program at UVA can be found
here.
[Oct 2021]
Presenting
our work at
ICCV 2021.
[November 2021]
Passed my PhD proposal presentation and exam!!! :)
[Oct 2021]
Awarded Endowed Graduate Fellowship at UVA.
[May 2021]
Starting my internship at
Deliberate AI going to work on on multimodal algorithms to not only help the patients but also pychologiest.
Selected Publications
Web-based interpretation bias training to reduce anxiety: A sequential multiple-assignment randomized trial
Jeremy W Eberle, Katharine E Daniel, Sonia Baee, Alexandra L Silverman, Elijah Lewis, Anna N Baglione, Alexandra Werntz, Noah J French, Julie L Ji, Nicola Hohensee, Xin Tong, Jacalyn M Huband, Mehdi Boukhechba, Daniel H Funk, Laura E Barnes, Bethany A Teachman
PLOS Digital Health 2024
Behavioral Modeling
User Activity
Digital Health
Mental Health
Engagement