Anthony is leading the eScience Institute's Hackweek-as-a-Service program. He is an advocate for open, inclusive and collaborative science. He has experience teaching GIS and has been the lead organizer for multiple earth-science themed hackweeks. His background is in cryospheric science and remote sensing.
Jessica is a glaciologist, remote sensing specialist, open science advocate and educator, collaborative developer, open-source software contributor and maintainer, and community manager. She enjoys weaving her many roles together to work with others to build software that makes it easier for everyone to access and manipulate data, and she's especially fond of detecting icebergs.
Collaboration Architect at eScience Institute & WayForagers
I am passionate about all things that are in service to building collaborations, especially interdisciplinary ones. I love building frameworks that make it easier for science groups (research, applied, data, stakeholders) to understand each other and how they might fit together to address the larger, more complex science challenges that are impossible to touch without a community of collaborators representing all angles & all perspectives.
eScience Institute & UW Earth and Space Sciences Department
Scott is a research scientist and data science fellow at the University of Washington. His research is focused on applications of synthetic aperture radar to understand geophysical processes. Scott is excited about the potential for open source software and Cloud computing to enable more open and reproducible science.
Louisa is the communications specialist at the eScience Institute, where she writes about data science and its applications across a wide range of fields. She also manages weekly direct email campaigns, social media and website updates, creating websites for eScience groups and other technical writing projects.
Janet is the fiscal specialist at the eScience Institute. She is responsible for complex fiscal administrative support for the institute directors, faculty, data scientists, postdocs, and research assistants working with the eScience Institute.
Ann is the eScience Institute's Grants Manager. Prior to joining eScience in 2018, Ann was a research coordinator and grant specialist for the University of Washington's Child Health Institute, the School of Dentistry, and the Institute for Health Metrics & Evaluation. Her skills include proposal development, financial reporting, fiscal oversight, and interpreting University and sponsor guidelines.
Shrusti is working with the eScience Institute as a Text Mining Specialist. She is a graduate student in the UW’s Masters in Data Science program. Shrusti has experience in ML, NLP, Data Mining, and Time Series Analysis. Shrusti earned her B.Tech in Information Technology from Vellore Institute of Technology and between her undergraduate and graduate studies she spent over a year working at VIT as a research assistant on problems in Data Visualization and Dimensionality Reduction. She has broad interests in extracting data, deriving data-driven insights, and turning them into powerful narratives.
I am a Research Software Engineer at the University of Washington with a strong focus in designing, developing, and maintaining scientific data analysis systems. I am a contributor to various open source software. I learning new technologies and apply them in my work.
Naomi is a Technical Education Specialist at the University of Washington's eScience Institute. She has a background in electrical engineering and computer science, but loves spending her time working on the interface between complex domains of information, be they software, hardware, or people.
Joe is a graduate student at the University of Utah with a research focus on snow hydrology and closing the gap between research and operations. He has a background in software development and would love to see more software development best practices, open source software, and open science principles being adapted throughout the research community.
Dylan Boyd is a Ph.D. student at Mississippi State University's Department of Electrical and Computer Engineering researching methods for recycling signals of opportunity for land applications. His group also is investigating methods for snow water equivalent retrieval for dry snow.
Batuhan Osmanoglu, Research Physical Scientist, holds a B.Sc. in telecommunications engineering and a Ph.D. in synthetic aperture radar (SAR) interferometry. Since 2013 he has been working at the NASA Goddard Space Flight Center. He is working on instrument and algorithm development of P-, L-, X- and Ku-band SAR systems. He also serves as one of the NISAR Deputy Application Leads at NASA, and is one of the Disasters Program coordinators at Goddard. He is a member of the IEEE and American Geophysical Union. He also chairs the Microwave Remote Sensing workgroup under International Society for Photogrammetry and Remote-Sensing.
Romina is a PhD candidate in atmospheric physics at the University of Toronto with a background in computer science and mathematics. Her research focuses on deep convection in the Labrador Sea and its role in atmospheric carbon sequestration. In addition to her research, Romina is actively involved in software development project that aims to simplify the process of accessing geophysical data.
NOAA & UW School for Fisheries and Aquatic Sciences
Eli is a research scientist with NOAA. She teaches git/GitHub skills for scientists, develops open source software and is helping NOAA science teams transition to open and reproducible science workflows.
Micah is a cofounder at M3 Works LLC and has a professional focus on scientific modeling and software consulting. He has a background in mechanical engineering and software development, including developing cloud applications and contributing to opensource software.
Chelsea is a PhD student in the Snow HydRO Lab at the University of Utah with a particular interest in remote sensing. Her research is primarily focused on observing changes in snow grain size and albedo using lidar intensity data.
Naheem is PhD student at the Geoscience Department of Boise State University. He works with others at the Cryosphere Geophysics and Remote Sensing (CRYOGARS) group towards understanding the dynamics of snow and other ice covered part of the world using state of the art remote sensing and modeling methods. His research focuses on monitoring snow depth using Interferometric Synthetic Aperture Radar (InSAR) and machine learning techniques.
Jack is a PhD student in the Computational Mountain Studies Lab at the University of Nevada, Reno. His research focuses on optimizing and utilizing remote sensing techniques to estimate snowpack properties and fluxes at various space and time scales.
Megan works as a data support scientist for the NASA SnowEx campaign. She facilitates the quality control process for the ground-based observations. She has a background in geophysics studying spatial-temporal snow distribution patterns using lidar. Megan also attended Geohackweek as a graduate student in 2019.
Micah is a cofounder at M3 Works where he is advancing realtime snow modeling. He also spends his time developing the SnowEx database aiming to make research easier and more reproducible. Micah is also working on a new snow penetrometer which he hopes will also help in characterizing snow microstructure at the spatial scale.
Melissa's work aims to improve land surface models so they produce better estimates of snow properties. Her recent work involves preparing a model environment that will ingest future snow satellite observations through data assimilation. Melissa also leads the SnowEx modeling working group and is always happy to chat about ways to improve model representation of snow.
Expertise in the field of applied electromagnetics, electromagnetic wave propagation and scattering properties from snow-covered terrain, vegetated land surface, and bare soil, forward modeling, and retrieval algorithm development with applications to Earth remote sensing in space. She currently leads the NASA Earth Science Research project to improve snow water equivalence estimate using radar tomography technique and serves on the Science Team for NASA Soil Moisture Active and Passive Mission and Ku-band Radar mission supported by Canadian Space Agency.
Nicoleta is a research hydrologist interested in using data science methods in research and educational activities. Current projects focus on studying snowy areas with machine learning and physics based models. She is also working on developing GeoSMART, an educational framework for machine learning adoption in the geosciences.
Ibrahim Alabi is a second-year PhD student in the Computing PhD program (Data Science Emphasis) at Boise State University. His doctoral research revolves around the use of Machine Learning to improve snow products. Specifically, his research is focused on using Machine Learning approaches to predict the amount of water stored in the seasonal snowpack.