I’m a postdoc at NASA’s Goddard Space Flight Center and the University of Maryland -specializing in Arctic and Antarctic sea ice variability. I apply statistical/geospatial analysis, machine learning, and visualization techniques to a wide variety of polar climate datasets (modelled and observed), all primarily in Python. I also develop and run sea ice models (although not so much recently). Take a look around! Contact details below..
20th September – Embarking on the 2016 JOIS/BGEP cruise around the Beaufort Gyre. Check out my blog ‘Searching for Sea Ice‘ on NASA’s Notes from the Field.
1st September – Recommendation and quote for the NASA Earth Observatory Image of the Day: ‘A Polynya Seldom Seen‘
17th August – Paper on: ‘The impact of the extreme winter 2015/2016 Arctic cyclone on the Barents-Kara seas‘ by Boisvert et al. was accepted for publication in Monthly Weather Review!
22nd July – Attended the Polar Research Coordination Network (RCN) sea ice hackathon at the Extreme Science and Engineering Discovery Environment (XSEDE) 2016 conference in Miami.
20th June– NASA-GSFC Cryospheric Sciences Python (CRYOTHON) Meetup group is up and running! Check out some information I put together on getting started with Python, and a few (hopefully) useful examples of Python in action on my GitHub.
17th May – Paper on: “Characterizing Arctic sea ice topography using high-resolution IceBridge data” accepted for publication in The Cryosphere!
13th-26th April – Participant on NASA’s Operation IceBridge mission, Thule, Greenland.
– Photo taken during the Eureka! overflight used on the NASA homepage.
15th April – Paper on: “Sea ice circulation around the Beaufort Gyre: The changing role of wind forcing and the sea ice state” accepted for publication in JGR-Oceans!
11th-16th March – Attended the Arctic Science Summit Week (ASSW) in Fairbanks, Alaska.
– Part of my International Arctic Science Committee Early Career Fellow duties
2nd March – Contributed to the NSIDC blog feature on the record low Arctic sea ice state this past winter.