After completing training in Physics and Atmospheric Sciences in 2003, Tomoko Matsuo invested time to build expertise in statistics and data assimilation. She has received unique training in statistics as part of an NSF program to build collaborative research and training between statistics and the geosciences at NCAR's Institute of Mathematics Applied to Geosciences through 2007. Before joining in the Smead Aerospace Engineering Department in 2017, she has聽worked聽at NOAA's Space Weather Prediction Center as a Research Associate in 精品SM在线影片's Cooperative Institute for Research in Environmental Sciences.
As a Principal Investigator (PI), with聽funding ($6.2M) from the NSF, NASA, European Space Agency (ESA), NOAA, Air Force Office of Scientific Research and Air Force Research Lab, she聽has developed original and independent research programs centered on data assimilative modeling and聽remote sensing of the Earth聽and space environments, and received an NSF CAREER award for her work into the predictability of the atmosphere from the ground to near-Earth space in 2019. She is a Smead Endowed Faculty Fellow as of 2022. She has also received an Outstanding Junior Faculty award and an Outstanding Undergraduate Teaching & Mentoring award from the Smead Aerospace Department in 2019 and 2021, and a Dean鈥檚 Faculty Fellowship from the College of Engineering and Applied Science in 2021.聽She has authored and co-authored over 70聽refereed publications.聽Because of her unique training in physics, atmospheric sciences, and statistics and the interdisciplinary nature of data assimilation research, she collaborates widely across disciplinary boundaries with space physicists, atmospheric scientists, aerospace engineers, applied mathematicians, and statisticians. She has been actively recruited to give talks and lead sessions at national and international meetings, including about 90聽invited talks.聽Outcomes from her聽research group have furthermore been reported in over 130聽oral and poster contributed conference presentations since 2017.
Since 2017, she mentored 64聽students in total, including 7聽PhD students as an advisor, 1 PhD student as a co-advisor, 6聽MS students as an advisor (two with MS theses), 4 PhD students on PhD research and dissertation in collaboration with their academic advisors, 22聽PhD students as a PhD thesis committee member, 2 MS students as a MS thesis committee member, 9聽graduate students as a qualifying exam committee member, and 7聽graduate and 6聽undergraduate students on their internship projects. 聽She聽has developed and taught two graduate-level courses on Data Assimilation and Inverse Methods for Earth and Geospace Observations (ASEN 6055) and Remote Sensing Data Analysis (ASEN 6337) as well as聽one large undergraduate-level course on Aerospace Computing and Engineering Applications (ASEN 1320). She also developed and taught a new graduate project on the research payload design for suborbital vehicles (ASEN5018-805). Other courses she taughed include Statistical Estimation for Dynamical Systems (ASEN 5044), Aerospace Software (ASEN 4057), and Remote Sensing Seminars (ASEN 5210). She聽is a strong advocate for underrepresented minorities聽in science, engineering and mathematics.聽She has developed education outreach activities based on her graduate course work and offered two summer camps for first-generation precollegiate high-school students, and mentored聽local high-school students for the Boulder Valley School District Science Fair.聽
She聽has served on high-level external and internal committees, including聽the U.S. National Committee for Geodesy and Geophysics (2023-current),聽the National Academy of Sciences Decadal Survey for Solar and Space Physics (Heliophysics) 2024-2033 Steering Committe (2022-2023), the ESA-NASA Lower Thermosphere-Ionosphere Science (EN-LoTIS) Working Group (2022-2023), the International Association of Geomagnetism and Aeronomy (IAGA) Geospace Data Assimilation Working Group (GeoDAWG) as Chair (2022-current),聽the NASA Heliophysics Advisory Committee (2017-2022),聽the ESA Daedalus Mission Advisory Group (2018-2021), the AGU Basu United States Early Career Award Committee (2017-2022),聽the NASA Geospace Dynamics Constellation Science and Technology Definition Team (2018-2019),聽the NSF Coupling, Energetics and Dynamics of Atmospheric Regions (CEDAR) Science Steering Committee (2012-2015),聽the NSF Geospace Section Committee of Visitors (2014), the Advisory Board for the 精品SM在线影片鈥檚 Center for Research Data and Digital Scholarship (2017-2022), the Department鈥檚 Graduate Committee (2018-2020), as the Remote Sensing Earth and Space Science (RSESS) Focus Area Lead, the Computing Committee as Chair (2019-2022),聽the Inclusive Culture Committee (2020-2022), and the Undergraduate Curriculum聽Committee (2022-2023).
顿辞飞苍濒辞补诲听Prof. Matsuo鈥檚 Curriculum Vitae