Name: Soon Wei Daniel Lim
Preferred name: Daniel
Harvard University, Ph.D. Applied Physics (2018 - Present)
Advisor: Prof. Federico Capasso
Research area: Structured light and structured dark for optical and quantum devices
California Institute of Technology, B.S. Physics (2013-2017)
Research Advisor: Prof. Sandra Troian, Laboratory of Interfacial and Small Scale Transport
GPA: 4.3/4.3 (A+ average), top in class of 254 students.
Cambridge University, Caltech Cambridge Scholars Program (Winter 2015)
Predicted honors class for five Part II Physics courses: 1st
Raffles Institution, Integrated Programme and 'A' Levels (2005-2010)
Distinctions in all eight 'A' level courses, including one at the Higher 3 level (Essentials of Modern Physics)
Professional and Research Experience
- Awarded the Chairman's Best Poster Award
- Advisor: Dr Shireen Goh
Research Engineer, Singapore Institute of Manufacturing Technology, A*STAR Singapore (2017)
- Advisor: Dr Wong Liang Jie
Kiyo and Eiko Tomiyasu Research Scholar, California Institute of Technology (2016) and Toshi Kubota Aeronautics Research Fellow, California Institute of Technology (2015)
- Advisor: Prof Sandra M. Troian
Research Intern, Institute of Infocomm Research, A*STAR Singapore (2014)
- Advisor: Dr Ng Tian-Tsong
Research Intern, Institute of Materials Research and Engineering, A*STAR Singapore (2013)
- Advisor: Dr Chin Jia Min
Corporal First Class, 6th Divisional Air Defence Artillery, Republic of Singapore Air Force (2011-2013)
- Received Fulltime National Serviceman of the Year (NSF of the Year).
Research Intern, National Neuroscience Institute (2007-2009)
- Advisors: Dr Lim Kah Leong, Dr Jeanne Tan May May
Research Intern, Plasma Radiation Source Laboratory, National Institute of Education, Singapore (2007)
- Advisor: Prof. Rajdeep Singh Rawat
Teaching and Outreach
Teaching Fellow, Harvard University (2019)
- Course taught: Laboratory Electronics (Physics 123/223, Engineering Sciences 153)
- Course instructor: Professor Thomas Hayes and David Abrams
Undergraduate Teaching Assistant, California Institute of Technology (2016)
- Course taught: Analog Electronics for Physicists (Physics 5/105)
- Course instructor: Frank Rice
Research Mentor, Raffles Institution, Singapore (2011)
- For the Singapore/International Young Physicists Olympiad team.
Teaching Intern, Zhonghua Secondary School, Singapore (2011)
- Mentors: Ngiam Kar Yin, Ong Lay Hong
Publications, Conferences, Patents
See Publications list.
Go to Contact page to request full texts or conference proceedings not listed.
Google Scholar: scholar.google.com/citations?user=JfH7A88AAAAJ
- Lindau Young Scientist, 69th Lindau Nobel Laureate Meeting, Germany (2019)
- A*STAR Roll of Honor, A*STAR, Singapore (2017)
- D.S. Kothari Prize in Physics, California Institute of Technology, USA (2017)
- Friends of the Caltech Libraries Senior Thesis Prize, California Institute of Technology, USA (2017)
- Ken Hass Outstanding Student Paper Award, American Physical Society Forum on Industrial and Applied Physics (2017)
- Haren Lee Fisher Memorial Award in Junior Physics, California Institute of Technology, USA (2016)
- Jack E. Froelich Memorial Award, California Institute of Technology, USA (2016)
- National Science Scholarship, A*STAR, Singapore (2011-present)
- Lee Kuan Yew Award for Mathematics and Sciences (Pre-University), Ministry of Education, Singapore
- Lee Kuan Yew Award for Mathematics and Sciences (Secondary), Ministry of Education, Singapore
- Silver Medal, 41st International Physics Olympiad (2010)
- Bronze Medal, 11th Asian Physics Olympiad (2011)
- Champion, 3rd United States Young Physicists' Tournament, Virginia, USA (2009)
Experimental: Analog and digital circuit design, Microscopy (confocal, interferometric, polarimetric, atomic force, spectroscopic), aseptic technique, cell culture, optical tweezing, X-ray photoelectron spectroscopy.
Nanofabrication: Electron beam lithography, focused ion beam (FIB) lithography, standard semiconductor processes (e.g., dry/wet etch, CVD/PVD/ALD, mask writing).
Electron microscopy: STEM/TEM, FIB TEM sample preparation, EDS, EELS, REELS, environmental/low voltage SEM.
Computational/Data Analysis: Assembly, C++, Python, R, Mathematica, MATLAB, LaTeX, ImageJ, COMSOL, Solidworks, Ansys Lumerical FDTD, Rigorous Coupled Wave Analysis (RCWA), Automatic Differentiation (e.g., Tensorflow).