PhD Students
current
Adam Coscia (HCC) - visualizing language models; sensemaking; visual text analytics;
Grace Guo (HCC) - visualization recommendation; annotations for visual charts; explainable AI;
Arpit Narechania (CS) - guidance in visual analytics; natural language to data visualization; visual analytics for functional vehicle safety;
former
Subhajit Das (CS) - usable ML model building;
Julia Deeb-Swihart (CS, co-advised w/Amy Bruckman) - helping law enforcement combat human trafficking;
Fred Hohman (CSE, co-advise w/Polo Chau) - graph visual analytics; interpretable deep learning;
Hannah Kim (CSE, co-advised w/Haesun Park) - visual analytics and topic modeling;
Po Ming "Terrance" Law (CS, co-advised w/John Stasko) - visualization for comparison;
Bahador Saket (CS) - visualization by demonstration; studying interaction in visualization;
Emily Wall (CS) - interactive model steering; mitigating cognitive bias during data analysis and exploration;
Masters
current
Shenyu Xu (MS-CS) - data-driven storytelling;
former
Meghan Galanif (MS-HCI) - visualizing uncertainty in state-reported vaccination rates;
Matt Britton (MS-CS) - visual analytics and topic modeling for browsing Reddit;
Ravish Chawla (MS-CS) - visual analytic technique for ranking;
Rachel Chen (MS-HCI) - visualization in computational journalism;
Sonal Jain (MS-CS) - text visual analytics for legal domains;
Steve Jones (MS-HCI) - baseball visual analytics;
Hannah Kim (MS-CS) - InterAxis;
Sakshi Pratap (MS-CS) - streaming visual analytics for finance;
Aishwariya Rajagopal (MS-CS) - user-driven topic models;
Bhargav Rajendra (MS-HCI) - interactive analytics library;
Pranav Ram (MS-CS) - structured analytical reasoning for visual analytics;
Pradeep Rajendran Vairamani (MS-CS) - text visual analytics;
Jianling Kelly Wang (MS-CS) - visualization recommendation systems;