Academic Service

I contribute to the HCI community through program committee work, organizing roles, editorial reviewing, and sustained peer review for conferences and journals. I have completed more than 250 peer reviews and received 21 special recognitions for reviews.

Below is an excerpt of my academic service:

Program Committees

CHI LBW '23–'25
AutomotiveUI '24–'26
MuC '24, '25
CHIWORK '25, '26
CHI, Associate Chair '26, '27
CHI Best Paper Award Committee '26

Organizing Committees

Registration and Local Chair, AutomotiveUI '23
Student Research Competition Chair, MuC '26
Co-organizer, Post-CHI Summer School on Automotive User Interfaces and Future Mobility
Co-organizer, German Pre-CHI in Ulm '22

Sessions, Workshops, and Tutorials

Session Chair, CHI '26
Co-organizer, A3WS workshop on accessibility in mobility, MuC '25
Co-organizer, tutorial on human-in-the-loop Bayesian optimization, MuC '25

Distinguished Reviewer Board

ACM Transactions on Computer-Human Interaction (TOCHI)

Reviewer – Conferences

AutomotiveUI '21–'26
CHI '22–'26
DIS '22, '23
IEEE VIS '23
CSCW '24
UIST '24–'26
TEI '24, '25

Reviewer – Journals

IMWUT '22–'26
TVCG '22
TRF '24
BIT '24–'26
IEEE THMS '25
IJHCS '25

Special Recognitions for Reviews

AutomotiveUI '22, '23, '25
CHI LBW '24
DIS '23
IEEE VIS '23
ISS '22
MuC '24
CSCW '24
CHI '24 (2), '25, '26
IMWUT '22, '24, '25, '26
UIST '24, '25, '26 (2)

Open Science

I release code, data, and study materials with my papers where this is possible. The publications page links them per paper. The Open Data Award at AutomotiveUI 2026 recognized the openly shared study materials, data, and analysis of our study on auditory information in automated vehicles.

I maintain open-source research tools under the MIT license. Bayesian Optimization for Unity supports human-in-the-loop multi-objective Bayesian optimization in Unity studies. HUD-SUMO couples the simulators SUMO and CARLA to study head-up displays in large-scale traffic. See ORCID and GitHub for more.