Johanna Beyer
Curriculum Vitae

I am a research scientist at the Visual Computing Group at Harvard University. My main research interests
are scalable techniques for high-throughput data visualization of large and complex scientific data, andthe combination of abstract information visualization with scientific visualization for novel domain-specificapplications. In addition, I am interested in immersive analytics, which uses Augmented and Virtual Reality
to support visual analysis and decision-making.
I am passionate about teaching and teaching methodologies, which I use to teach undergraduate and graduate
courses here at Harvard.

Education
2004–2009 Ph.D. in Computer Science, Vienna University of Technology, Austria.
Dissertation: GPU-based Multi-Volume Rendering of Complex Data in Neuroscience and Neurosurgery.
Ph.D. committee: Prof. Dr. Eduard Gröller, Prof. Dr. Hanspeter Pfister.

2000–2004 Dipl. Ing. (FH) in Medical Software Engineering, Upper Austrian University of Applied
Science, Austria.

Research Experience
2022-now Research Scientist, Visual Computing Group, Harvard University, USA.
2016-2022 Research Associate, Visual Computing Group, Harvard University, USA.
2013–2016 Postdoctoral Fellow, Visual Computing Group, Harvard University, USA.
2013 Visiting Research Fellow, Institute of Computer Graphics and Algorithms, Vienna Universityof Technology, Austria.
2010–2013 Postdoctoral Fellow, Geometric Modeling and Scientific Visualization Research Center, King
Abdullah University of Science and Technology (KAUST), Saudi Arabia.
2009 Visiting Research Fellow, Initiative on Innovative Computing, Harvard University, USA.
2008–2010 Researcher, Visualization Group, VRVis Research Center, Austria.
2004–2008 Junior Researcher, Medical Visualization Group, VRVis Research Center, Austria.

Teaching Experience
Classroom Teaching2023 Lecturer, CS 171 - Visualization, co-instructor for 115 undergraduate and graduate students
and 20 online students. Harvard University..
2019-2024 Lecturer, CS 271 - Topics in Data Visualization, 16 undergraduate and graduate students.
Harvard University. (Harvard Certificate of Teaching Excellence awarded).
2018-2022 Head Teaching Fellow, CS 171 - Visualization, 80 undergraduate and 30 online students.
Harvard University. (Harvard Certificate of Distinction in Teaching awarded).
2018-now Teaching Fellow, Data Visualization Workshop, 30 students. Harvard DCE Professional
Development.
2017 Lecturer, CS 171 - Visualization, 70 undergraduate and graduate students. Harvard
University.
H +1 (617) 460 0435 • B jbeyer@g.harvard.edu
Í https://johanna-b.github.io

2015-2016 Head Teaching Fellow, CS 171 - Visualization, 240 undergraduate and online students.
Harvard University.
2013–2014 Senior Teaching Fellow, CS 171 - Visualization, Harvard University.
2014 Senior Teaching Fellow, CS 207 - Systems Development for Computational Science, 70
graduate and online students. Harvard University.
2013 Senior Teaching Fellow, CS 109 - Data Science, 400 undergraduate, graduate, and online
students. Harvard University.
2010–2012 Teaching Fellow, Scientific Visualization, KAUST.
2010–2012 Teaching Fellow, GPU and GPGPU Programming, KAUST.

Student Co-Supervision and Mentoring
2015–now Leader of the visualization subgroup of Prof. Pfister’s lab, including student mentoring,
Harvard University.
2013–now Supervision of Ph.D. students, Master’s theses, and research interns, Harvard University.
2010–2012 Supervision of Master’s theses and directed research, King Abdullah University of Scienceand Technology.
2009–2010 Supervision of Master’s theses and directed research, VRVis Research Center.

Awards
2023
2022
2021
2020
2014
2014
2012
2008
2007
2004

Best Short Paper Honorable Mention, EuroVis.
Best Paper Honorable Mention, IEEE Visualization.
Best Paper Honorable Mention (top 5%), ACM CHI.
Best Paper, IEEE SciVis Conference.
Best Paper Honorable Mention, IEEE InfoVis Conference.
Best Poster, BioVis.
Best Paper Honorable Mention, IEEE SciVis Conference.
Medvis Award (Karl-Heinz-Höhne-Preis), second place.
Best Applications Paper Award, IEEE Visualization Conference.
Best Student Project Award, Upper Austrian University of Applied Sciences.

Academic Activities
Symposium Co-Chair IEEE Large Scale Data Analysis and Visualization (LDAV), 2024
Short Papers Co-Chair IEEE Vis 2024
Committees Workshop Co-Chair IEEE Vis 2021, 2022
Papers Co-Chair IEEE Large Scale Data Analysis and Visualization (LDAV) 2021, 2022.
Program Committee IEEE Vis 2021.
Program Committee IEEE SciVis 2014-2015, 2017-2018. 2020.
Program Committee SciVis Short Papers 2018-2019.
Program Committee EuroVis 2014, 2016, 2019-2021.
Program Committee EuroVis Short Papers 2012-2014, 2017-2018. 2020. 2024
Posters Chair IEEE Large Scale Data Analysis and Visualization (LDAV) 2015.
Program Committee IEEE Large Scale Data Analysis and Visualization (LDAV) 2014, 2015,2017, 2018.

H +1 (617) 460 0435 • B jbeyer@g.harvard.edu
Í https://johanna-b.github.io

Program Committee EG Eurographics Workshop on Visual Computing for Biology andMedicine (VCBM) 2018-2019, 2020.
Program Committee Eurographics Symposium on Parallel Graphics and Visualization (EGPGV)
2022.
Conference IEEE Visualization Conference; ACM SIGGRAPH; ACM SIGGRAPH Asia; SC International
Reviews Conference for High Performance Computing, Networking, Storage and Analysis; ACM CHI;
Eurographics Conference on Visualization; IEEE Pacific Visualization Symposium; IEEE/EGInternational Symposium on Volume and Point-Based Graphics; Eurographics Symposium
on Parallel Graphics and Visualization; IEEE Symposium on Large-Scale Data Analysis andVisualization; International Conference in Central Europe on Computer Graphics, Visualization
and Computer Vision; Eurographics Workshop on Visual Computing for Biology and Medicine;
Central European Seminar on Computer Graphics. IEEE VR.
Journal IEEE Transactions on Visualization and Computer Graphics; IEEE Computer Graphics andReviews Applications; Computer Graphics Forum; The Visual Computer; Computer Assisted Radiology
and Surgery; Information Visualization; Computers in Biology and Medicine; Neuroinformatics.
Other Bio+Med+Vis Spring School Co-Organizer with Jan Byška, Ingrid Hotz, Barbora Kozlìkovà,
Torsten Möller, Renata Raidou, Noeska Smit, Hsiang-Yun Wu. May 2021.
NII Shonan Meeting Co-Organizer on “Formalizing Biological and Medical Visualization” with
Barbora Kozlìkovà, Renata Raidou, Timo Ropinski, Issei Fujishiro. February 2020.

Grants and Grant Writing Experience
I helped conceptualize and write the following grant proposals:
2021-2024 NCS-FO-2124179, Empowering Data-Driven Hypothesis Generation for Scalable Connectomics
Analysis, Co-PIs Hanspeter Pfister, Jeff Lichtman.
2021-2024 NSF 2107328, Situated Visual Information Spaces, Co-PIs Hanspeter Pfister, Ari Kaufman,
and James Tompkin.
2018-2021 NSF-FO 1835231, Analyzing Synapses, Motifs and Neural Networks for Large-scale Connectomics, Co-PIs Hanspeter Pfister and Jeff Lichtman.
2016-2021 OSR-2015-CCF-2533-01 KAUST Office of Sponsored Research, Large-Scale Connectomics,
Co-PIs Hanspeter Pfister and Markus Hadwiger.
2013-2015 NSF OIA-1125087, Bridging the Computational Semantic Gap: A Demand-Driven Frameworkfor Portal-Based Chemistry, Astronomy, and Neurobiology, Co-PI Hanspeter Pfister.
2013-2015 Harvard Cuda Center of Excellence, PI Hanspeter Pfister.
2008 WWTF ICT08-040, SCALE-VS: Research on the Scalability and Confluence of Scientific
Visualization and Interactive Segmentation, PI: Markus Hadwiger.

Patents
P1 T. Lin, R. Singh, H. Pfister, M. A. Smith, and J. Beyer; Trajectory Visualization System andMethod For Motor-Skill Development. 2022. WO2022216642.
P2 J. Beyer, Z. Chen, T. Lin, and H. Pfister. Augmenting Basketball Videos with Gaze-moderated
Embedded Visualizations. 2023. In Preparation.

Scholarships
2011 Sabic Postdoctoral Fellowship, postdoctoral funding.
2008 Marshall Plan Scholarship, partial doctoral funding.
H +1 (617) 460 0435 • B jbeyer@g.harvard.edu
Í https://johanna-b.github.io

Publications – Book Chapters2019 J. Beyer, C. Hansen, M. Hlawitschka, I. Hotz, B. Kozlikova, G. Scheuermann, M. Stommel,
M. Streit, J. Waschke, T. Wischgoll, Y. Wan. Case Studies for Working with Domain Experts.
Foundations of Data Visualization.
2011 W.-K. Jeong, H. Pfister, J. Beyer, and M. Hadwiger. GPU-accelerated Brain Connectivity
Reconstruction and Visualization in Large-Scale Electron Micrographs. GPU Computing
Gems, Vol 1.

Publications – Peer-Reviewed Journal Publications
2024 S. Boorboor, M.S. Castellana, Y. Kim, Z. Chen, J. Beyer, H. Pfister, and A.E. Kaufman.
VoxAR: Adaptive Visualization of Volume Rendered Objects in Optical See-Through Augmented Reality. IEEE Transactions on Visualization and Computer Graphics.
2024 Z. Kostic, C. Dumas, S. Pratt, and J. Beyer. Exploring Mid-Air Hand Interaction in Data
Visualization. IEEE Transactions on Visualization and Computer Graphics.
2023 J. Troidl, S. Warchol, J. Choi, J. Matelsky, N. Dhanysai, X. Wang, B. Wester, D. Wei,
J.W. Lichtman, H. Pfister, and J. Beyer. Vimo: Visual Analysis of Neuronal Connectivity
Motifs. IEEE Transactions on Visualization and Computer Graphics (Vis ’23).
2023 L. Herzberger, M. Hadwiger, R. Krüger, P. Sorger, H. Pfister, E. Gröller, and J. Beyer.
Residency Octree: A Hybrid Approach for Scalable Web-Based Multi-Volume Rendering.
IEEE Transactions on Visualization and Computer Graphics (Vis ’23).
2023 T. Lin, A. Aouididi, Z. Chen, J. Beyer, H. Pfister, and J. Wang. VIRD: Immersive Match Video
Analysis for High-Performance Badminton Coaching. IEEE Transactions on Visualization andComputer Graphics (Vis ’23).
2023 Z. Chen, D. Chiappalupi, T. Lin, Y. Yang, J. Beyer, H. Pfister. RL-LABEL: A Deep
Reinforcement Learning Approach Intended for AR Label Placement in Dynamic Scenarios.
IEEE Transactions on Visualization and Computer Graphics (Vis ’23).
2023 H. Elhamdadi, A. Stefkovics, J. Beyer, E. Moerth, H. Pfister, C. Xiong Bearfield, and C. Nobre.
Vistrust: a Multidimensional Framework and Empirical Study of Trust in Data Visualizations.
IEEE Transactions on Visualization and Computer Graphics (Vis ’23).
2023 P. Velicky, E. Miguel, J. Michalska, J. Lyudchik, D. Wei, Z. Lin, J. Watson, J. Troidl,
J. Beyer, Y. Ben-Simon, C. Sommer, W. Jahr, A. Cenameri, J. Broichhagen, S. Grant,
P. Jonas, G. Novarino, H. Pfister, B. Bickel, J. Danzl. Dense 4D Nanoscale Reconstructionof Living Brain Tissue. Nature Methods.
2023 T. Lin, Z. Chen, J. Beyer, Y. Wu, H. Pfister, and Y. Yang. The Ball is in Our Court:
Conducting Visualization Research with Sports Experts. IEEE Transactions on Computer
Graphics and Applications.
2022 T. Lin, Z. Chen, Y. Yang, D. Chiappalupi, J. Beyer, and H. Pfister. The Quest for Omnioculars: Embedded Visualization for Augmenting Basketball Game Viewing Experiences. IEEE
Transactions on Visualization and Computer Graphics (Vis ’22). Best Paper Honorable
Mention Award.
2022 Z. Chen, Q. Yang, X. Xie, J. Beyer, H. Xia, Y. Wu, and H. Pfister. Sporthesia: Augmenting
Sports Videos Using Natural Language. IEEE Transactions on Visualization and Computer
Graphics (Vis ’22).
2022 H. Strobelt, A. Webson, V. Sanh, B. Hoover, J. Beyer, H. Pfister, and A. Rush. Interactive
and Visual Prompt Engineering for Ad-Hoc Task Adaptation with Large Language Models.
IEEE Transactions on Visualization and Computer Graphics (Vis ’22).

H +1 (617) 460 0435 • B jbeyer@g.harvard.edu
Í https://johanna-b.github.io

2022 J. Troidl, C. Cali, E. Gröller, H. Pfister, M. Hadwiger, and J. Beyer. Barrio: Customizable
Spatial Neighborhood Analysis and Comparison for Nanoscale Brain Structures. Computer
Graphics Forum (EuroVis).
2022 J. Beyer* , J. Troidl* , S. Boorboor, M. Hadwiger, A. Kaufman, and H. Pfister. A Surveyof Visualization and Analysis in High-Resolution Connectomics. Computer Graphics Forum(EuroVis).
2021 T. Lin, Y. Yang, J. Beyer, and H. Pfister. Labeling Out-of-View Objects in Immersive
Analytics to Support Situated Visual Searching. IEEE Transactions on Visualization andComputer Graphics.
2021 H. Strobelt, J. Kinley, R. Krüger, J. Beyer, H. Pfister, and A. Rush. GenNI: Human-AI
Collaboration for Data-Backed Text Generation. IEEE Transactions on Visualization andComputer Graphics (SciVis).
2021 J. Beyer, Y. Yang, H. Pfister. Visualization Design Sprints for Online and On-Campus Courses.
IEEE Computer Graphics and Applications.
2021 F. Gonda, X. Wang, J. Beyer, M. Hadwiger, J. W. Lichtman, and H. Pfister. VICE: Visual
Identification and Correction of Neural Circuit Errors. Computer Graphics Forum (EuroVis).
2020 P. Rautek, M. Mlejnek, J. Beyer, J. Troidl, H. Pfister, T. Theußl, and M. Hadwiger. Objective
Observer-Relative Flow Visualization in Curved Spaces for Unsteady 2D Geophysical Flows.
IEEE Transactions on Visualization and Computer Graphics (SciVis). Best Paper Award.
2020 Y. Yang, M. Cordeil, J. Beyer, T. Dwyer, K. Marriott, and H. Pfister. Embodied Navigationin Immersive Abstract Data Visualization: Is Overview+Detail or Zooming Better for 3D
Scatterplots? IEEE Transactions on Visualization and Computer Graphics (InfoVis).
2020 N. Sawada, M. Uemura, J. Beyer, H. Pfister, and I. Fujishiro. TimeTubesX: A Query-Driven
Visual Exploration of Observable, Photometric, and Polarimetric Behaviors of Blazars. IEEE
Transactions on Visualization and Computer Graphics.
2019 R. Krueger, J. Beyer, W.-D. Jang, N. W. Kim, A. Sokolov, P. K. Sorger, H. Pfister, and
M. Hadwiger. Facetto: Combining Unsupervised and Supervised Learning for Hierarchical
Phenotype Analysis in Multi-Channel Image Data. IEEE Transactions on Visualization andComputer Graphics (VAST).
2018 J. Beyer, H. Mohammed, M. Agus, A. K. Al-Awami, H. Pfister, and M. Hadwiger. Culling for
Extreme-Scale Segmentation Volumes: A Hybrid Deterministic and Probabilistic Approach.
IEEE Transactions on Visualization and Computer Graphics (SciVis).
2017 H. Mohammed, A. K. Al-Awami, J. Beyer, C. Cali, P. Magistretti, H. Pfister, and M. Hadwiger.
Abstractocyte: A Visual Tool for Exploring Nanoscale Astroglial Cells. IEEE Transactions on
Visualization and Computer Graphics (SciVis).
2017 M. Hadwiger, A. K. Al-Awami, J. Beyer, M. Agus, and H. Pfister. SparseLeap: Efficient
Empty Space Skipping for Large-Scale Volume Rendering. IEEE Transactions on Visualization
and Computer Graphics (SciVis).
2017 B. Bach, R. Sicat, J. Beyer, M. Cordeil, and H. Pfister. The Hologram in My Hand: How
Effective is Interactive Exploration of 3D Visualizations in Immersive Tangible Augmented
Reality?. IEEE Transactions on Visualization and Computer Graphics (InfoVis).
2017 D. Haehn, J. Hoffer, B. Matejek, A. Suissa-Peleg, Ali. K. Al-Awami, L. Kementsky, F. Gonda,
E. Meng, W. Zhang, R. Schalek, A. Wilson, T. Parag, J. Beyer, V. Kaynig, T. R. Jones,
J. Tompkin, M. Hadwiger, J. W. Lichtman, and H. Pfister. Scalable Interactive Visualization
for Connectomics. Informatics.

H +1 (617) 460 0435 • B jbeyer@g.harvard.edu
Í https://johanna-b.github.io

2015 A. K. Al-Awami, J. Beyer, D. Haehn, N. Kasthuri, J. W. Lichtman, H. Pfister, and M. Hadwiger.
NeuroBlocks - Visual Tracking of Segmentation and Proofreading for Large Connectomics
Projects. IEEE Transactions on Visualization and Computer Graphics (SciVis).
2015 J. Beyer, M. Hadwiger, and H. Pfister. State-of-the-Art in GPU-Based Large-Scale Volume
Visualization. Computer Graphics Forum.
2014 A. K. Al-Awami, J. Beyer, H. Strobelt, N. Kasthuri, J. W. Lichtman, H. Pfister, and
M. Hadwiger. NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal
Connectivity. IEEE Transactions on Visualization and Computer Graphics (InfoVis). Best
Paper Honorable Mention Award.
2014 D. Haehn, S. Knowles-Barley, M. Roberts, J. Beyer, N. Kasthuri, J. W. Lichtman, and
H. Pfister. Design and Evaluation of Interactive Proofreading Tools for Connectomics. IEEE
Transactions on Visualization and Computer Graphics (SciVis).
2013 J. Beyer, A. K. Al-Awami, N. Kasthuri, J. W. Lichtman, H. Pfister, and M. Hadwiger.
ConnectomeExplorer: Query-Guided Visual Analysis of Large Volumetric Neuroscience Data.
IEEE Transactions on Visualization and Computer Graphics (SciVis).
2013 J. Beyer, M. Hadwiger, A. Al-Awami, W.-K. Jeong, N. Kasthuri, J. W. Lichtman, and
H. Pfister. Exploring the Connectome - Petascale Volume Visualization of Microscopy Data
Streams. IEEE Computer Graphics and Applications.
2012 M. Hadwiger, R. Sicat, J. Beyer, J. Krüger, and T. Möller. Sparse PDF Maps for Non-Linear
Multi-Resolution Image Operations. ACM Transactions on Graphics (SIGGRAPH Asia).
2012 M. Hadwiger, J. Beyer, W.-K. Jeong, and H. Pfister. Interactive Volume Exploration ofPetascale Microscopy Data Streams Using a Visualization-Driven Virtual Memory Approach.
IEEE Transactions on Visualization and Computer Graphics (SciVis). Best Paper Honorable
Mention Award.
2010 W.-K. Jeong, J. Beyer, M. Hadwiger, R. Blue, C. Law, A. Vasquez, C. Reid, J. Lichtman,
and H. Pfister. SSECRETT and NeuroTrace: Interactive Visualization and Analysis Tools forLarge-Scale Neuroscience Datasets. IEEE Computer Graphics and Applications.
2009 W.-K. Jeong, J. Beyer, M. Hadwiger, A. Vasquez, H. Pfister, and R. Whitaker. Scalable
and Interactive Segmentation and Visualization of Neural Processes in EM Datasets. IEEE
Transactions on Visualization and Computer Graphics (Visualization).
2007 J. Beyer, M. Hadwiger, S. Wolfsberger, and K. Bühler. High-Quality Multimodal VolumeRendering for Preoperative Planning of Neurosurgical Interventions. IEEE Transactions on
Visualization and Computer Graphics (Visualization). Best Applications Paper Award.
2007 J. Beyer, C. Langer, L. Fritz, M. Hadwiger, S. Wolfsberger, and K. Bühler. Interactive
Diffusion Based Smoothing and Segmentation of Volumetric Datasets on Graphics Hardware.
Methods of Information in Medicine.

Publications – Peer-Reviewed Conference Publications
2024 P. Harth, A. Bast, J. Troidl, B. Meulemeester, H. Pfister, J. Beyer, M. Oberlaender, H.C. Hege
and D. Baum. Rapid Prototyping for Coordinated Views of Multi-scale Spatial and Abstract
Data: A Grammar-based Approach. Eurographics Workshop on Visual Computing for Biology
and Medicine, 2023.
2023 M. Rodrigues, J. Dapello, P. Vaithilingam, C. Nobre*, J. Beyer*. ProtoGraph: A Non-Expert
Toolkit for Creating Animated Graphs. IEEE Visualization, Short Papers, 2023.
2023 E. Iannucci, Z. Chen, I. Armeni, M. Pollefeys, H. Pfister, and J. Beyer. ARrow: A Real-Time
AR Rowing Coach. Proceedings of of EuroVis, Short Papers. Best Short Paper Honorable
Mention Award.
H +1 (617) 460 0435 • B jbeyer@g.harvard.edu
Í https://johanna-b.github.io

2023 Z. Chen, Q. Yang, J. Shan, T. Lin, J. Beyer, H. Xia, and H. Pfister. iBall: Augmenting
Basketball Videos with Gaze-moderated Embedded Visualizations. Proceedings of the SIGCHI
Conference on Human Factors in Computing Systems (ACM CHI).
2021 T. Lin, R. Singh, Y. Yang, C. Nobre, J. Beyer, M. A. Smith, and H. Pfister. Towards anUnderstanding of Situated AR Visualization for Basketball Free-Throw Training. Proceedingsof the SIGCHI Conference on Human Factors in Computing Systems (ACM CHI). Honorable
Mention Award.
2020 T. Lin, Y. Yang, J. Beyer, and H. Pfister. SportsXR – Immersive Analytics in Sports. 4thWorkshop on Immersive Analytics: Envisioning Future Productivity for Immersive Analytics(at ACM CHI 2020).
2019 N. Ruta, N. Sawada, K. McKeough, M. Behrisch, and J. Beyer. SAX Navigator: Time Series
Exploration through Hierarchical Clustering. IEEE Visualization, Short Papers, 2019.
2019 R. Roessler, C. Kelly, M. Behrisch, and J. Beyer. TexTiles: Exploring Patterns in Historical
Discourse. 4th Workshop on Visualization for the Digital Humanities (at IEEE Vis ’19), 2019.
2019 L. Pentecost, U. Gupta, E. Ngan, J. Beyer, G.-Y. Wei, D. Brooks, M. Behrisch. CHAMPVis: Comparative Hierarchical Analysis of Microarchitectural Performance. Workshop on
Programming and Performance Visualization Tools (ProTools), 2019.
2011 T. Hoellt, J. Beyer, F. Gschwantner, P. Muigg, H. Doleisch, G. Heinemann, and M. Hadwiger.
Interactive Seismic Interpretation with Piecewise Global Energy Minimization. Proc. of IEEE
Pacific Visualization.
2008 J. Beyer, M. Hadwiger, T. Möller, and L. Fritz. Smooth Mixed-Resolution GPU VolumeRendering. Proc. of IEEE International Symposium on Volume and Point-Based Graphics
2008.
2007 J. Beyer, M. Hadwiger, S. Wolfsberger, C. Rezk-Salama, and K. Bühler. Segmentierungsfreie
Visualisierung des Gehirns für Direktes Volume Rendering. Proc. of Bildverarbeitung für die
Medizin 2007.

Publications – Technical Reports, Talks and Posters
2020 J. Beyer, and H. Pfister. Design Sprints for Online and On-Campus Visualization Courses.
VisActivities: IEEE VIS Workshop on Data Vis Activities to Facilitate Learning, Reflecting,Discussing, and Designing.
2020 M. Williams, E. Z. Hang, A. Adjagbodjou, R. Krueger, and J. Beyer. QuVis: A Quantum
Circuit Visualization Tool for Novices. Poster at IEEE International Conference on Quantum
Computing and Engineering (QCE20).
2017 H. Mohammed, A. K. Al-Awami, J. Beyer, C. Corrado Cali, P. Magistretti, H. Pfister,and M. Hadwiger. Abstractocyte: A Visual Tool for Exploring Nanoscale Astroglial Cell
Morphology. Poster at IEEE Pacific Visualization (PacificVis).
2016 J. Beyer, H. Strobelt, M. Oppermann, L. Deslauriers, and H. Pfister. Teaching Visualization
for Large and Diverse Classes on Campus and Online. Pedagogy of Data Visualization
Workshop.
2014 A. K. Al-Awami, J. Beyer, H. Strobelt, N. Kasthuri, J. W. Lichtman, H. Pfister, M. Hadwiger.
NeuroLines - A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity.
Poster at 4th Symposium on Biological Data Visualization (BioVis). Best Poster Award.
2011 J. Beyer, M. Hadwiger, W. Jeong, H. Pfister, J. Lichtmann, and C. Reid. Demand-Driven
Volume Rendering of Terascale EM Data. SIGGRAPH 2011 Talks.

H +1 (617) 460 0435 • B jbeyer@g.harvard.edu
Í https://johanna-b.github.io

2011 J. Beyer, M. Hadwiger, W. Jeong, H. Pfister. Distributed Terascale Volume Visualization
Using a Shared Virtual Memory Space. Poster at IEEE Symposium on Large-Scale Data
Analysis and Visualization (LDAV).
2010 J. Beyer, M. Hadwiger, W. Jeong, H. Pfister, J. Lichtmann, and C. Reid. Distributed
Multi-Level Out-of-Core Volume Rendering. Poster at NVIDIA GPU Technology Conference(NVIDIA Research Summit).

Courses2023 J. Beyer, C. Nobre. Design Sprints for Visualization. IEEE Vis.
2018 J. Beyer, M. Hadwiger. GPU-Based Large-Scale Scientific Visualization. SIGGRAPH Asia.
2014 J. Beyer, M. Hadwiger, H. Pfister. A Survey of GPU-Based Large-Scale Volume Visualization.
Eurographics Conference on Visualization (EuroVis) - State of The Art Reports.
2013 M. Hadwiger, J. Krüger, J. Beyer, S. Bruckner. GPU-Based Large-Scale Visualization.
SIGGRAPH Asia.

Invited Talks and Guest Lectures
2021 Visual Computing for Exploring Nanoscale Brain Tissue in Connectomics. EG Workshop on
Visual Computing for Biology and Medicine (VCBM) Captstone.
2021 Visualization for Neuroscience and Connectomics. Bio+Med+Vis Spring School.
2020 Bigger, Better, Faster, Stronger - Computational and Perceptual Scalability in Data Visualization. Graz University of Technology.
2018 Collaborating with Domain Experts. Dagstuhl Seminar on Foundations of Data Visualization.
2017 Guest lecture: Visualizing Spatial Data: Volumes and Flow . COMPSCI 205: Computing
Foundations for Computational Science. Harvard University.
2016 Visualization for Connectomics. Immersive Approaches to Biological Data Visualization. Cold
Spring Harbor Laboratory.
2015 Visualization for Connectomics. Data Visualization Meeting. Broad Institute.
2015 Data Visualization and Visual Computing for Life Sciences. Visual Computing Center, King
Abdullah University of Science and Technology.
2014 NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity .
CSAIL, Massachusetts Institute of Technology.
2012 Interactive Volume Exploration of Petascale Microscopy Data. Visual Computing Group,
Harvard University.
2012 Petascale Visualization for Neuroscience. Workshop on Computational Biomedicine andGeophysics, Salt Lake City.
2011 Petascale Visualization for Neuroscience. Argonne National Labs.
2006 High-Quality Real-Time Visualization of Medical Data. European Workshop on basic techniques of microsurgery and cerebral revascularization.

Conference Presentations
2022 Visualization Design Sprints for Online and On-Campus Courses. IEEE Vis.
2022 A Survey of Visualization and Analysis in High-Resolution Connectomics. EuroVis.
2020 Panelist at Why should I stay in Academia? Bridging Generations of Researchers in Visualization. IEEE Vis.

H +1 (617) 460 0435 • B jbeyer@g.harvard.edu
Í https://johanna-b.github.io2019 Bringing Immersive Vis into the Wild. ACM Siggraph Frontiers Workshop on Immersive
Visualization. ACM Siggraph.
2018 Culling for Extreme-Scale Segmentation Volumes: A Hybrid Deterministic and Probabilistic
Approach. IEEE SciVis.
2018 Holograms in My Hand. BOF Immersive Visualisation for Science. Research, and Art, ACM
Siggraph Asia.
2018 Course on GPU-Based Large-Scale Scientific Visualization. ACM Siggraph Asia.
2014 A Survey of GPU-Based Large-Scale Visualization. EuroVis.
2013 Course on GPU-Based Large-Scale Visualization. ACM Siggraph Asia.
2013 ConnectomeExplorer: Query-Guided Visual Analysis of Large Volumetric Neuroscience Data.
IEEE SciVis.
2013 Interactive Non-Linear Image Operations on Gigapixel Images. NVIDIA GPU Technology
Conference.
2012
2011
2009
2008

Terascale Volume Visualization in Neuroscience. NVIDIA GPU Technology Conference.
Demand-Driven Volume Rendering of Terascale EM Data. ACM Siggraph.
Scalable and Interactive Segmentation and Visualization of Neural Processes. IEEE SciVis.
Smooth Mixed-Resolution GPU Volume Rendering. IEEE Volume and Point-based Graphics.

2007 High-Quality Multimodal Volume Rendering for Preoperative Planning of NeurosurgicalInterventions. IEEE Visualization.

H +1 (617) 460 0435 • B jbeyer@g.harvard.edu
Í https://johanna-b.github.io