David Broman

(See my webpage:http://people.kth.se/~dbro/ for more details)

David Broman is a Professor at the School of Electrical Engineering and Computer Science (EECS), KTH Royal Institute of Technology in Sweden. He is the Head of Department for the Department of Computing and Learning Systems (CLS) at KTH, and an Associate Director Faculty for the research center Digital Futures. He received his Ph.D. in Computer Science in 2010 from Linköping University, Sweden. Between 2012 and 2014, he was a Visiting Scholar at the University of California, Berkeley, where he was employed as a part-time researcher until 2016. Between 2023 and 2024, he was a Visiting Professor for a year at the Computer Science Department, Stanford University. His research concerns software and computing in general, with a focus on the intersection of (i) programming languages and compilers, (ii) probabilistic machine learning, and (iii) real-time and cyber-physical systems. David has received the Best ETAPS paper award on on programming languages and systems (the EAPLS Award, co-authored 2023), a Distinguished Artifact Award at ESOP (co-authored 2022), an outstanding paper award at RTAS (co-authored 2018), a best paper award in the journal Software & Systems Modeling (SoSyM award 2018), the award as teacher of the year, selected by the student union at KTH (2017), the best paper award at IoTDI (co-authored 2017), and awarded the Swedish Foundation for Strategic Research's individual grant for future research leaders (2016). He has worked for several years within the software industry, co-founded companies, co-founded the EOOLT workshop series, is the vice chair of the EMSOFT Steering Committee, is a member of IFIP Working group 2.4, the Modelica Association, the SWEDSOFT Board, a senior member of IEEE, and a former board member of Forskning och Framsteg.