Dirk Englund

MIT EECS | ORCID: 0000-0002-1043-3489

Professional Preparation

InstitutionField of StudyDegree & Year
Westlake High School High School Diploma; 1998
California Institute of Technology Physics BS; 2002
Technische Universiteit Eindhoven Applied Physics ; 2003
International Space University (ISU) Summer Program; Jun–Aug 2003
Stanford University Applied Physics PhD; 2008
Stanford University Electrical Engineering MS; 2008
Harvard University Physics Postdoctoral Fellow; 2010

Appointments and Positions

2024– Professor of Electrical Engineering and Computer Science — Massachusetts Institute of Technology
2022–2025 Member — DARPA Microsystems Exploratory Council (MEC)
2020– Deputy Director — NSF ERC Center for Quantum Networks
2020– Co-lead — MIT-MITRE-Sandia National Laboratory Quantum Moonshot Program
2019– Member — MIT Lincoln Laboratory Campus Interaction Committee
2018–2024 Associate Professor (tenured) — Massachusetts Institute of Technology
EECS
2018– Senior Technical Staff (part-time) — Brookhaven National Laboratory (U.S. Department of Energy)
2017– Scientific Advisor — Lightmatter, Dust Identity, QuEra Computing, Quantum Network Technologies (QNT)
2016–2018 Associate Professor (untenured) — Massachusetts Institute of Technology
EECS
2013–2016 Assistant Professor of Electrical Engineering and Computer Science — Massachusetts Institute of Technology
Member of the Research Laboratory of Electronics and the Microsystems Technology Laboratory
2010–2013 Assistant Professor of Electrical Engineering and of Applied Physics — Columbia University
2008–2010 Postdoctoral Fellow — Harvard University
Physics

Biography

Dirk Robert Englund is a full Professor at the Massachusetts Institute of Technology. He is a faculty member of the Department of Electrical Engineering and Computer Science (EECS) and a principal investigator of MIT's Research Laboratory of Electronics (RLE) and MIT's Microsystems Technology Laboratory.

Englund also serves as part-time senior technical staff with the Department of Energy's Brookhaven National Laboratory, and he is a scientific member of DARPA's Microsystems Exploratory Council (MEC).

Englund received his BS in Physics from Caltech in 2002, winning the D.S. Kothari Prize in Physics for research in quantum optics and biophysics supervised by Prof. Hideo Mabuchi. Following a year at TU Eindhoven as a Fulbright Fellow (with Prof. Bert Koopmans), he began graduate studies at Stanford in 2003, earning an MS in Electrical Engineering and a PhD in Applied Physics in 2008 (supervisor Prof. Jelena Vuckovic). He was a postdoctoral fellow at Harvard University until 2010 (supervisors Prof. Hongkun Park and Prof. Mikhail Lukin), when he joined the faculty of Columbia University as Assistant Professor of Electrical Engineering and of Applied Physics. He joined the MIT faculty in 2013.

Awards & Honors

2023 Fellow of the IEEE
2022 Alexander von Humboldt Professorship
2023 Best Paper Award, OECC/PSC Conference 2022
2023 R&D 100 Award winner (MIT Lincoln Laboratory Microsystems Prototyping Foundry)
2021–2024 Web of Science / Clarivate Highly Cited Researcher (Physics 2022–2024; Cross-Field 2021)
2021 Fellow of Optica (formerly the Optical Society of America)
2020 Alexander von Humboldt Foundation Research Fellowship
2018 Bose Research Fellow
2017 Adolph Lomb Medal (OSA / Optica top award for a young researcher in optics)
2017 ACS Photonics Young Investigator Award
2016 MIT Lincoln Laboratory R&D 100 Award
2015 Lincoln Laboratory Best Paper Award
2012 IEEE-HKN Outstanding Young Professional Award
2012 IBM Faculty Award
2012 DARPA Young Faculty Award
2011 Presidential Early Career Award for Scientists and Engineers (PECASE)
2011 Sloan Research Fellowship in Physics
2010 Air Force Office of Scientific Research Young Investigator Award
2004 NSF Graduate Fellowship
2003 NDSEG Fellow
2002 U.S. Fulbright Fellow
2002 D.S. Kothari Thesis Prize in Physics, Caltech

Research

Englund's research focuses on devices and systems to study, control, and use complex information processing systems: large-scale quantum computing, quantum networks, and machine learning/artificial intelligence accelerators. His research addresses these challenges by a full-stack approach spanning algorithms to large-scale photonic systems, including programmable optics, large-scale control of atoms and spins, to precision measurement and control.