Anne Jorstad, Ph.D.

anne.jorstad
Supporting evidence-based policy decisions, promoting diversity in science, encouraging interdisciplinary research and development, and advancing government transparency.

Primary fields of expertise:
data science · data analysis · data visualization · biomedical image processing · computer vision · computational geometry

Data Scientist



Research Scientist

Experience

Data Scientist

Swiss National Science Foundation (SNSF)

Analyzes data to support evidence-based science policy decisions. Develops data visualizations and a public-facing open data portal to contribute to government transparency. Manages a science policy newsletter.

2014-Present

Research Scientist

Ecole Polytechnique Fédérale de Lausanne (EPFL)

Lead developer for the NeuroMorph Toolkit, an interdisciplinary collaboration with neuroscientists in the Biological Electron Microscopy Facility and the Computer Vision Laboratory, to aid in the large-scale analysis and visualization of 3D brain imagery.

2012-Present
(part-time since 2014)

Doctoral Research Assistant

University of Maryland, College Park
Applied Mathematics & Statistics, and Scientific Computation

In the context of computer vision, explored deformation and illumination insensitive object recognition algorithms based on measuring dense 2D morphings between deformable objects such as faces and medical imagery.

2007-2012

Research Intern

Johns Hopkins Applied Physics Lab

Developed a dynamic patient-specific computational model of the human heart to aid in surgical planning, and prototyped an object pose estimation algorithm for decentralized camera sensor networks.

2008-2010
(summers)

Teaching Assistant

University of Wisconsin
Department of Mathematics

Classroom instruction and planning for Calculus I & II, Multivariable Calculus, Differential Equations.

2005-2007

Research Intern

The Boeing Company

Developed spline-based CAD/CAGD software with the Geometry and Optimization Team to aid in preliminary vehicle design with a focus on physics-based surface optimization.

2003-2007
(summers)

Education

University of Maryland, College Park

Ph.D.

Supervisor: Professor David Jacobs

2007-2012

Ecole Normale Supérieure de Cachan

Visiting Doctoral Student

Center for Mathematical Studies and their Applications, Paris, France

2010

University of Wisconsin, Madison

Master’s Degree
2005-2007

Cornell University, Ithaca, NY

Bachelor’s Degree
Mathematics, Computer Science Concentration
2001-2005

Interlake High School, Bellevue, WA

International Baccalaureate Diploma
1997-2001

Research

The NeuroMorph Analysis and Visualization Toolkit




NeuroMorph: A Software Toolset for 3D Analysis of Neurite Morphology and Connectivity
A. Jorstad, J. Blanc, G.W. Knott. Frontiers in Neuroanatomy, 2018.

NeuroMorph: A Toolset for the Morphometric Analysis and Visualization of 3D Models Derived from Electron Microscopy Image Stacks
A. Jorstad, B. Nigro, C. Cali, M. Wawrzyniak, P. Fua, G. Knott. Neuroinformatics, 2015.

Science Policy Analysis


Gender and other potential biases in peer review: cross-sectional analysis of 38 250 external peer review reports
A. Severin, J. Martins, R. Heyard, F. Delavy, A. Jorstad, M. Egger. BMJ Open, 2020.
Scientific Careers in Switzerland and Abroad
A.C. LeBoeuf, A. Jorstad, E. Mulky. Authorea, 2017.


Biomedical Image Processing and Computer Vision


The effects of aging on neuropil structure in mouse somatosensory cortex—A 3D electron microscopy analysis of layer 1
C. Cali, M. Wawrzyniak, C. Becker, B. Maco, M. Cantoni, A. Jorstad, B. Nigro, F. Grillo, V. De Paola, P. Fua, G.W. Knott. PLoS ONE, 2018.
Computer assisted detection of axonal bouton structural plasticity in in vivo time-lapse images
R. Gala, D. Lebrecht, D.A. Sahlender, A. Jorstad, G. Knott, A. Holtmaat, A. Stepanyants. eLife, 2017.
Delayed and Temporally Imprecise Neurotransmission in Reorganizing Cortical Microcircuits
S. Barnes, C. Cheetham, Y. Liu, S. Bennett, G. Albieri, A. Jorstad, G. Knott, G. Finnerty. The Journal of Neuroscience, 2015.
Dense Image Registration and Deformable Surface Reconstruction in Presence of Occlusions and Minimal Texture
D.T. Ngo, S. Park, A. Jorstad, A. Crivellaro, C.D Yoo, P. Fua. IEEE International Conference on Computer Vision (ICCV), 2015.
Correlative In Vivo 2-Photon Beam Scanning Electron Microscopy: 3D Analysis of Neuronal Ultrastructure
B. Maco, A. Holtmaat, A. Jorstad, P. Fua, G. Knott. Methods in Cell Biology, 2014.
Refining Mitochondria Segmentation in EM Imagery with Active Surfaces
A. Jorstad, P. Fua. European Conference on Computer Vision (ECCV), Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, 2014.
Deformations and Lighting
D. Jacobs, A. Jorstad, A. Trouvé. Chapter, Shape Perception in Human and Computer Vision, 2013.
A Fast Illumination and Deformation Insensitive Image Comparison Algorithm Using Wavelet-Based Geodesics
A. Jorstad, D. Jacobs, A. Trouvé. European Conference on Computer Vision (ECCV), 2012.
Matlab implementation
Measuring Deformations and Illumination Changes in Images with Applications to Face Recognition
A. Jorstad. Ph.D. Thesis, University of Maryland, College Park, 2012.
Patient-Specific Modeling and Analysis of the Mitral Valve Using 3D-TEE
P. Burlina, C. Sprouse, D. DeMenthon, A. Jorstad, R. Juang, F. Contijoch, T. Abraham, D. Yuh, E. McVeigh. Information Processing in Computer-Assisted Interventions (IPCAI), 2010.
Individualized Cardiothoracic Surgical Planning using Computer Aided 3D Modeling and Image Analysis
P. Burlina, C. Sprouse, D. DeMenthon, A. Jorstad, F. Contijoch, E. McVeigh, R. Juang, T. Abraham, D. Yuh. AMA/IEEE EMBS Medical Technology Conference, 2010.
Distributed Consensus on Camera Pose
A. Jorstad, D. DeMenthon, I. Wang, P. Burlina. IEEE Transactions on Image Processing, 2010.
Model-Based Pose Estimation by Consensus
A. Jorstad, P. Burlina, I. Wang, D. Lucarelli, D. DeMenthon. Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2008), 2008.
Robust Face Recognition Measuring 2D Deformations
A. Jorstad. Ph.D. Candidacy Exam, Department of Applied Mathematics & Statistics, and Scientific Computation, University of Maryland, College Park, 2009.
Slides
Leaf Classification from Local Boundary Analysis
A. Jorstad, D. Jacobs. Poster, Graduate Research Interaction Day, University of Maryland, College Park, 2008.

Interests

Activities

hiking · snowshoeing · swimming


Music

oboe · english horn · clarinet


Learning Languages

French · German