Matthew Nichols
About Matthew Nichols
Matthew Nichols is a Quantitative Researcher currently employed at Radix Trading LLC in New York. He has extensive experience in optics and engineering, having previously worked at Apple, Harvard University, and the Massachusetts Institute of Technology.
Current Role at Radix Trading
Matthew Nichols currently serves as a Quantitative Researcher at Radix Trading LLC, a position he has held since 2022. In this role, he applies his advanced engineering skills and programming expertise to analyze quantitative data and develop trading strategies. His work contributes to the firm's focus on leveraging technology to enhance trading performance.
Previous Experience at Apple
Prior to his current role, Matthew Nichols worked as an Optical Engineer at Apple from 2021 to 2022. During his seven months in Cupertino, California, he focused on optical technologies, contributing to projects that required his expertise in laser technology and optics.
Research Background at MIT and Harvard
Matthew Nichols has a strong research background, having served as a Graduate Student Researcher at the Massachusetts Institute of Technology from 2012 to 2019. He then continued his research as a Postdoctoral Research Fellow at Harvard University from 2019 to 2021. His studies primarily focused on Atomic, Molecular, and Optical Physics, where he gained extensive knowledge in ultra-high vacuum technology and RF/microwave circuitry.
Educational Qualifications
Matthew Nichols earned his Doctor of Philosophy (PhD) in Atomic, Molecular, and Optical Physics from the Massachusetts Institute of Technology, completing his studies from 2012 to 2019. He also holds a Bachelor of Arts (BA) in Applied Mathematics and Physics from the University of California, Berkeley, which he obtained from 2008 to 2012.
Technical Skills and Proficiencies
Matthew Nichols possesses advanced engineering skills in laser technology and optics, including specialization in polarization optics. He is proficient in various programming and computer skills, including Matlab, Mathematica, IGOR Pro, LabVIEW, LaTeX, Adobe Illustrator, and Microsoft Office. Additionally, he has working knowledge of AutoCAD, SolidWorks, Autodesk Inventor, and Python.