I am an Assistant Professor at the Department of Information Systems, Faculty of Business and Economics (HEC) at the University of Lausanne. I am also Group Head of Applied AI Lab. At ETH Zurich, I am Academic Director of Strategy and AI Laboratory ( SAIL ).

My research program aims to identify solutions and frameworks for dealing with organizational and technical hurdles that business organizations face when adopting AI-based systems.

I have obtained Doctor of Sciences (Dr. sc. ETH Zurich) degree from ETH Zurich and master’s degree in Computer Science from Saarland University (Germany). Before joining University of Lausanne, I was Senior Researcher (Oberassistent) at ETH Zurich. Prior to starting my PhD, from 2010-2014, I held a position as research associate at the Cluster of Excellence (MMCI, Germany), which comprises of Saarland University, the Max Planck Institute of Informatics (MPII, Germany), the German Research Center for Artificial Intelligence (DFKI, Germany), and the Max Planck Institute for Software Systems (MPI-SWS). There, my research was focussed on Computational Social Choice and Theoretical Computer Science. I have also worked as research engineer at Samsung R&D.

My research has been published in leading outlets in both management and computer science, including Nature Machine Intelligence, Organization Science, Strategic Management Journal, California Management Review, Journal of Business Research, Journal of Organization Design, Nature Reviews BioEngineering, EMNLP, IJCAI, ECAI, KDD, Theoretical Computer Science and Lecture Notes in Computer Science. My research and education has been supported through scholarships and research grants from several institutions including the Swiss National Science Foundation ( SNSF ), Swiss State Secretariat for Education, Research and Innovation (SERI), the Enterprise 4 Society Center (E4S), Competence Center for Rehabilitation Engineering and Science @ ETH Zurich ( RESC ), Enterpreneurship and Innovation HUB (UCreate), Innosuisse , the Government of India ( EdCIL ) and the German Research Foundation ( DFG ).

Resume

Education

• Doctor of Sciences (Dr. sc. ETH), ETH Zürich
  Dissertation: Bridging Data Science and Organization Science: Leveraging Algorithmic Induction to research Online Communities
  Committee: Prof. Georg von Krogh, Prof. Phanish Puranam, Prof. Ce Zhang, Prof. Shiko Ben-Menahem, Prof. Stefano Brusoni (chair)
• MSc in Computer Science, Saarland University, Germany
  Dissertation: Complexity of disjoint Pi- vertex deletion for disjoint forbidden subgraphs
  Committee: Prof. Jiong Guo, Prof. Raimund Seidel
• BTech in Electronics and Communication Engineering, National Institute of Technology, Durgapur

Academic Experience

• 2019 – 2022 Swiss Federal Institute of Technology (ETH), Zürich, Switzerland
  Senior Lecturer (Oberassistent)
  Chair of Strategic Management & Innovation, Department of Management, Technology and Economics (MTEC)
• 2014- 2019 Swiss Federal Institute of Technology (ETH), Zürich, Switzerland; Research and Teaching Associate
  Chair of Strategic Management & Innovation, Department of Management, Technology and Economics (MTEC)
• 2012 – 2014 Multimodal Computing and Interaction (MMCI), Saarbrücken, Germany
  Research and Teaching Associate

Other Experience

• 2020 – present Strategy and Artificial Intelligence Lab, Zürich, Switzerland
  Academic Director
• 2010- 2011 Samsung R&D, India
  Software Engineer

Awards

• 2024-2026 The Future of Organizations Fellowship by Organizational Design Community
• 2023 Sebastian Hoenen Research Prize
• 2023 HEC Best Teacher award (for MScIS)
• 2023 ICIS Best Student Paper Award (1st Runner up)

Recieved Grants

• Swiss National Science Foundation (SNF), 2023-2027 Managing Artificial-Intelligence-Augmented Decision Making in Organizations: Designing, Adopting and Evaluating, 100018_215542, CHF 475,882
• Swiss National Science Foundation (SNF), 03.2021 – 06.2024
  Sustaining Knowledge Creation in Online Communities: Enabling, Creating, and Maintaining 197763,  CHF 609,629
  (as CO-PI with G. von Krogh).
• Enterprise 4 Society (E4S), 2023-24 Enhancing fairness in digital health by improving representation in healthcare data CHF 80,000 (as CO-PI with Ö. Isik & Z. Erden)
• Swiss State Secretariat for Education, Research and Innovation (SERI) Leading House Asia Grant 2024-2025 “Cor-AI: A proof-of-concept study on coronary artery disease diagnostics from x-ray angiographyimages using AI”, CHF 35k (with B. Bhattarai)
• Swiss State Secretariat for Education, Research and Innovation (SERI) Leading House Asia Grant 2024-2025 RPG_ASEAN_072023_25 Robustness of Human and Artificial Intelligence Ensembling in Project Evaluation , CHF 25k (with V. Choudhary)
• HEC Research Grant 2023-2024, CHF 6K
• ETH Competence Centre for Rehabilitation Engineering and Science (RESC), 04.2021 – 07.2023
  Changing Behaviours: Hackster – Patient-led innovation in online communities: An exploratory study of the design principles and the diffusion of affordable rehabilitation technology CHF 93,033
  (as CO-PI with G. von Krogh, N. Geilinger, M. Meboldt & C. Stadtfeld)
• Ucreate3, Switzerland “LingoRank: A pedagogical recommendation system for learning French as a foreign language” CHF 10,000. (with M. Vlachos, N. Sierro, M. De Terwangne)
• Innosuisse, Switzerland 40752.1 INNO-ICT”: “Artificial Intelligence to improve venture capital decision-making CHF 12,613.85
  (as CO-PI with G. von Krogh & Raized.AI)

Services

• Associate Editor, Journal of Organization Design
• Member of Editorial Review Board, Strategic Entrepreneurship Journal
• Ad-hoc Reviewer (Journals)
  • Academy of Management Journal
  • Academy of Management Review
  • Strategic Management Journal
  • Information Systems Research
  • Organization Science
  • Management Science
  • Journal of Information Technology
  • Journal of Strategic Information Systems
  • Academy of Management Discoveries
  • MIS Quarterly
  • Journal of Organization Design
  • European Journal of Information Systems
  • California Management Review
  • Research Policy
  • Annals of the New York Academy of Sciences
  • Health Policy and Technology
  • Journal of Experimental Criminology
  • Journal of Combinatorial Optimization
  • Technovation
  • Innovation: Organization and Management 
  • The International Journal of Human Resource Management
  • Journal of Experimental & Theoretical Artificial Intelligence
  • Information Processing and Management
  • Industrial and Corporate Change
• Ad-hoc Reviewer (Conferences and Proceedings)
  • Annals of the New York Academy of Sciences (2020- )
  • Health Policy and Technology, ad hoc reviewer (2020-)
  • Journal of Experimental Criminology, ad hoc reviewer (2020-)
  • International Conference on Information Systems (ICIS 2016- )
  • Latin American Theoretical INformatics Symposium (LATIN 2018- )
  • International Symposium on Parameterized and Exact Computation (IPEC 2016- )
  • International Joint Conference on Artificial Intelligence (IJCAI 2018- )
  • European Conference on Artificial Intelligence (ECAI 2018-
  • Computational Social Choice (COMSOC 2018- )
  • Strategic Management Society Conferences (SMS 2020-)
• Reviewer (Scientific Grants)
  • Swiss National Science Foundation
  • National Science Foundation (USA)
  • Dutch Research Council
  • Science Fund of the Republic of Serbia
  • German Academic Exchange Service (DAAD)

PhD Thesis (co)-Supervision

1. Vaibhav Krishna (2018 – 2022 @ETH Zurich) [first job – postdoc @ Yale University] [won SNSF Postdoc Fellowship]

2. Savindu Pathirannehelage Herath (2021 – ongoing @ETH Zurich)

3. Amirsiavosh Bashardoust (2022-ongoing @ UNIL)

Teaching Experiences

• Machine Learning in Management Research [PhD course @ UNIL; 2024- present]
• Artificial Intelligence in Business [BSc course @ UNIL; 2023- present]
• Management of AI in Organizations [MSc course @ UNIL; 2022- present]
• Data Science and Management [CAS, Executive Education @ UNIL; 2024 – present]
• HUM-387 How technology shapes the workplace of the future (BSc course @ EPFL; 2023 – present)
• 363-0392-00G Strategic Management (MSc & MAS, Core course of Department of Management, Technology and Economics @ ETH Zurich; 2020 & 2021)
• 363-0404-00 Industry & Competitive Analysis (MSc & MAS, Elective course of Department of Management, Technology and Economics @ ETH Zurich; 2020 & 2021)
• 364-0553-00L Innovation in the Digital Age (PhD Seminar of Department of Management, Technology and Economics @ ETH Zurich; 2020 – present)
• 351-0778-00L Discovering Management (MSc course of Department of Management, Technology and Economics @ ETH Zurich; 2021)