Tess Paoletta, Ph.D.

Patent Agent and Technology Specialist at Fish & Richardson

Austin, Texas, United States

About

Experience

  • Fish & Richardson P.C. (Austin, Texas, United States)
    • Patent Agent
      Jul 2023 - Present · 3 yrs 1 mo

      Patent Agent helping clients obtian patent protection across variety of industries, including optics, semiconductors, and green tech.

    • Technology Specialist
      Jan 2022 - Present · 4 yrs 7 mos

  • The University of Texas at Austin (Austin, Texas Metropolitan Area)
    • Doctoral Student
      Sep 2017 - Dec 2021 · 4 yrs 4 mos

      I study the electro-optic (EO) response and anharmonicity in perovskite crystals in the hopes of finding a design rule to enhance the EO response. Using the TACC supercomputer, I can complete computationally demanding calculations with the softwares Abinit and VASP. I then write my own code to analyze those results.

    • Teaching Assistant
      Sep 2017 - May 2019 · 1 yr 9 mos

      I ran multiple sections of the Electromagnetism for Engineers lab for undergraduates. I both lectured the background material and assisted students in the completion of the lab.

  • Research Engineer at ICFO
    Jun 2016 - Jun 2017 · 1 yr 1 mo

    I conducted research to aid in the creation of state of the art optical parametric oscillators (OPOs). My time was split between the lab, where I built lasers with free-space optical components, and processing data using MATLAB. My most significant contribution was in the developing a fiber-based OPO and authoring a paper about these pioneering results.

  • Astrophysics Research Assistant at University of Pennsylvania
    Jun 2014 - Aug 2015 · 1 yr 3 mos

    Using Python and astronomical imaging software DS9, I analyzed Dark Energy Survey (DES) data to study galaxy formation. This research combined several aspects of astrophysics, such as weak gravitational lensing, redshift, and how instrumentation impacts data. In the end, I was able to produce a scientifically useful image of a globular cluster, as sometimes regions of interest in an image are easier to identify by eye.