Knuth Information Physics Lab
Department of Physics
University at Albany
Albany NY - 12222
To partially validate EXONEST as a robust analytical tool, I have shown that it is capable of characterizing the mass, the radius, and the relative orbital inclination of Kepler-428b, Kepler-40b, and Kepler-44b. I have optimized the reduction process of the data as given on the NASA Exoplanet Archives for EXONEST, and I am currently using the algorithm to characterize Kepler candidates.
I am interested in data analysis applied to astronomy and astrophysics. The most recent space exploration programs (e.g Kepler and CoRot) have produced data on a large scale. This data can only be analyzed by developing smarter and faster algorithms, so that new frontiers in knowledge can be reached.
MSc. in Physics, 2018, State University of New York at Albany
BSc. in Physics with a Minor in Mathematics, 2016, State University of New York at Albany
Nov. 2017 - "EXONEST: The Exoplanetary Explorer", Schenectady, NY, USA.
Presented at the NYSS-APS 117th Topical Symposium joint with the 2017 Fall Meeting of the ASNY. Co-author with Jennifer L. Carter and Kevin H. Knuth. Won the 2nd place for graduate student posters (NYSS-APS poster session).
Honors and Awards
2016 Anne Rebecca Oliver Memorial Scholarship, State University of New York at Albany, Department of Physics.
Golden Key International Honor Society: Member since May 2016.
Dean's List of Distinguished Students, State University of New York: Spring and Fall Semesters 2011, Spring Semester 2013, Fall Semester 2014, Spring and Fall Semesters 2015.
Proficient in C++, Matlab, LaTex, and with Microsoft Office programs.
Fluent in French, English.
- Knuth, K.H., Placek, B., Angerhausen, D., Carter, J.L., D’Angelo, B., Gai, A.D. and Carado, B.: EXONEST: The Bayesian Exoplanetary Explorer. Entropy, 19(10), (2017) p.559