SHAARPEC team

We are clinicians and healthcare system leaders, supported by an agile team of AI researchers, data scientists and economists. We know ever-increasing complexity of healthcare from within the system.

Leadership team

Thomas Davidsson

Founder and CEO

Extensive experience as CFO and CEO in international environments and across industries such as manufacturing, IT, telecommunications and medtech.
Holds an MBA from Stockholm School of Economics.

Erik G. Brandt

Chief Data Scientist, Hallandia V AB

Docent in Physical Chemistry and PhD in Theoretical Physics.
Experienced data scientist and researcher in advanced statistical analysis and machine learning.
Years of expertise in algorithm development and numerical methods in the software and medtech industries.

Peter Aleksziev

Head of Finance, Hallandia V AB

Experience in diverse finance and accounting roles, such as financial analysis, controlling and startup finances.
Executive MBA teaching experience in Financial Strategy and Entrepreneurial Finance and Private Equity courses at the University of Chicago Booth School of Business.
PhD in Accounting from Stockholm School of Economics (research area: financial analysis and valuation)

Clinical, AI and Business team:

Philip D Anderson

Founder and Clinical Advisor

Assistant Professor, Emergency Medicine, Harvard Medical School
Emergency Medicine Specialist with 30+ years of clinical experience with the Harvard teaching hospital network and other university hospital settings, currently at Brigham and Women’s Hospital, a major teaching affiliate of Harvard Medical School, Boston, Massachusetts
Director, Emergency Medicine International Collaborations, Brigham and Women’s Hospital, with 20+ years of consulting experience

Kobra “Farzaneh” Etminani

Advisor

Associate Professor in Machine Learning, Halmstad University, position created jointly with Knowledge Foundation.

Research areas: machine learning, artificial intelligence and data mining in the hospital & health care

Anastasiya Klyuchko

Project Manager

PhD student, Stockholm School of Economics. Researching Region & Municipality project cooperation for better healthcare outcomes.

Prof. Michalis Vazirgiannis

Consultant

Professor at LIX, Ecole Polytechnique in France and leads the Data Science and Mining group. Visiting professor at KTH supported by the ”Wallenberg AI, Autonomous Systems and Software Program” (WASP). Research areas: machine and deep learning for large scale heterogeneous data (including graphs and text).