Sotabase

Career

· Summer Associate Quantitative Research, J.P. Morgan2021–2021
· Co-Founder COO, Valar Labs2021–
· Machine Learning Intern, iZettle2020–2020
· Researcher SNAP, Stanford University2020–2022
· Researcher Stanford Machine Learning Group, Stanford University2020–2022
· Research Intern, Kungliga Tekniska högskolan2019–2019
· Teaching Assistant, Kungliga Tekniska högskolan2018–2019
· Founder Project Manager, Potential2017–2018
· Chairman, Unga Aktiesparare2015–2019
· Founder, Zinple AB2015–2019
· Board Member, Unga Aktiesparare2014–2019
· Ekonomi, Östra Reals Gymnasium2012–2015
· Master of Science - MS, Electrical Engineering, Stanford University2012–2015
· Bachelor's degree, Electrical Engineering, KTH Royal Institute of Technology

Publications (31)

DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set
Scientific Data · 2020
33
cited
Capturing the Effects of Transportation on the Spread of COVID-19 With a Multi-Networked SEIR Model
IEEE Control Systems Letters · 2021
30
cited
Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment outcomes in pancreatic cancer
Cell Reports Medicine · 2023
15
cited
Predicting Response to Intravesical Bacillus Calmette-Guérin in High-Risk Nonmuscle-Invasive Bladder Cancer Using an Artificial Intelligence–Powered Pathology Assay: Development and Validation in an International 12-Center Cohort
Journal of Urology · 2024
12
cited
Estimating Geographic Spillover Effects of COVID-19 Policies From Large-Scale Mobility Networks
AAAI Conference on Artificial Intelligence · 2022
11
cited
Analysis, Online Estimation, and Validation of a Competing Virus Model
American Control Conference · 2020
10
cited
Overcoming Challenges for Estimating Virus Spread Dynamics from Data
Annual Conference on Information Sciences and Systems · 2020
8
cited
MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning
arXiv.org · 2021
7
cited
GloFlow: Whole Slide Image Stitching from Video Using Optical Flow and Global Image Alignment
International Conference on Medical Image Computing and Computer-Assisted Intervention · 2021
6
cited
MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning
International Conference on Medical Imaging with Deep Learning · 2022
5
cited
Presence of an Artificial Intelligence-powered Predictive Biomarker Is Associated with a Poor Response to Intravesical Bacillus Calmette-Guerin but Not to Intravesical Sequential Gemcitabine/Docetaxel in Patients with High-grade Non-muscle-invasive Bladder Cancer.
European Urology Oncology · 2025
5
cited
Computational Histology Artificial Intelligence (CHAI) Enhances Risk Stratification of High-grade Ta Non-muscle-invasive Bladder Cancer in a Multicenter Cohort: Comparison to Current European Association of Urology and American Urological Association Stratification Schemes.
European Urology · 2025
3
cited
Development of artificial intelligence–derived histological biomarkers for first-line treatment selection in metastatic pancreatic ductal adenocarcinoma (mPDAC).
Journal of Clinical Oncology · 2023
2
cited
Gemcitabine response prediction in the adjuvant treatment of resected pancreatic ductal adenocarcinoma using an AI histopathology platform.
Journal of Clinical Oncology · 2022
2
cited
1773P Prediction of neoadjuvant chemotherapy response in muscle-invasive bladder cancer: A machine learning approach
Annals of Oncology · 2022
1
cited
Abstract A043: Validation of an artificial intelligence derived histological biomarker for gemcitabine response in resected pancreatic ductal adenocarcinoma (PDAC)
Cancer Research · 2022
1
cited
Analysis and Estimation of Networked SIR & SEIR Models with Transportation Networks
2020
1
cited
43/#512 Assessing robustness of an artificial intelligence derived histological biomarker across different sites of disease and in serial sections in tubo-ovarian high-grade serous carcinoma
Featured Printed Posters (Poster Rounds with the Professors) · 2022
44/#219 Predicting response to platinum-based chemotherapy for tubo-ovarian high-grade serous carcinoma using an artificial intelligence histopathology platform
Featured Printed Posters (Poster Rounds with the Professors) · 2022
AI-based pathologic biomarker for pathologic downstaging in patients with muscle-invasive bladder cancer undergoing cystectomy after neoadjuvant nivolumab, gemcitabine, and cisplatin: BLAAST-1 Trial.
Journal of Clinical Oncology · 2023
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Damir Vrabac | Researcher Profile | Sotabase | Sotabase