Team

Meet the team

Organizer Lecturer Invited speaker Advisory Participant

Organizer

Lecturer

Jinbo Wang

Jinbo Wang is an associate professor at Texas A&M University specializing in satellite oceanography, SWOT, and machine learning applications for ocean science. His research focuses on unlocking the nonlinear potential of SWOT data and developing AI-enhanced methods for oceanographic analysis. He is a workshop organizer and will give a morning lecture on going nonlinear with SWOT.

Organizer

Lecturer

Georgy Manucharyan

Georgy Manucharyan is an associate professor at the School of Oceanography, University of Washington, specializing in physical oceanography and machine learning. His research focuses on ocean dynamics, sea ice, and applying ML methods to oceanographic problems. He is a workshop organizer and will give a morning lecture on fundamentals of machine learning for oceanography.

Organizer

Nadya Vinogradova Shiffer

Dr. Nadya Vinogradova Shiffer is a science executive at NASA Headquarters, where she leads the Earth Venture Orbital program and directs NASA's Ocean Physics Program, overseeing major satellite missions including SWOT, Sentinel-6, SMAP, and CRISTAL. She provides scientific and strategic direction for competitive science teams, manages a research portfolio with an annual budget in the tens of millions of dollars, and represents NASA in international forums including the United Nations and CEOS. She holds a Ph.D. in Ocean Physics and an M.S. in Applied Mathematics, has authored over 100 scientific publications, and previously held positions at MIT, the Harvard-Smithsonian Center for Astrophysics, and in private industry.

Lecturer

Steve Nerem

Steve Nerem is a professor at the University of Colorado and a member of the SWOT Science Team. He is using SWOT to study tides and sea level change in coastal and estuarine environments. He is a longtime member of the OSTST and uses satellite altimetry to measure sea level change.

Lecturer

Advisory

Justin Stopa

Justin Stopa is an associate professor at the University of Hawaii at Manoa specializing in satellite remote sensing, wave modeling, and SAR applications in oceanography. He is interested in building collaborations with ML experts and oceanographic experts to address larger problems in ocean wave prediction and analysis. He will give a morning lecture on introduction to SAR and its applications.

Lecturer

Session chair

Tatsu Monkman

Tatsu Monkman is a researcher at New York University working on diffusion models for satellite data fusion and altimetry data gridding. He is interested in sharing his experience applying diffusion models to oceanographic problems and collaborating with others working on similar ML methods. He will give a morning lecture on using diffusion models for multivariable satellite data fusion.

Invited speaker

Kelsey Bisson

Kelsey Bisson is a Biosphere Program Scientist within the NASA Headquarters Science Mission Directorate. She a Program Scientist for EAGLE-TIR, ECOSTRESS, and GLIMR missions. She is the lead Earth Scientist for Artemis 3.

Invited speaker

Advisory

Luke Van Roekel

Luke Van Roekel is a research scientist at Los Alamos National Laboratory exploring small scale ocean processes and their effect on the global Earth system through a hierarchy of models.

Invited speaker

Advisory

Ian Fenty

Ian Fenty is a research scientist at NASA's Jet Propulsion Laboratory working on ocean state estimation, data assimilation, and ECCO. His research focuses on integrating satellite and in-situ observations with numerical models to understand ocean circulation and its role in the climate system. He will give an invited talk on NASA ECCO development and challenges for ML.

Participant

Advisory

Spencer Jones

Spencer Jones is a researcher at Texas A&M University interested in leveraging the time dimension for predicting ocean velocities and heat transport. His work focuses on inferring heat transport anomalies from sea surface variables in high-resolution climate model runs. He will present a lightning talk on inferring heat transport anomaly from sea surface variables.

Participant

Advisory

Ou Wang

Ou Wang is a research scientist at NASA's Jet Propulsion Laboratory working on AI for Arctic sea ice forecasting and gap filling. His research combines machine learning with satellite remote sensing to improve sea ice prediction and analysis. He will present on AI for Arctic sea ice at the workshop.

Invited speaker

Zhiwen Fan

Zhiwen Fan is a researcher at Texas A&M University working on ocean foundation model architecture. His research focuses on developing large-scale AI models for oceanographic applications, combining satellite observations with deep learning. He will give an invited talk on ocean foundation model architecture.

Invited speaker

Martin Rasmus Kolster

Martin Kolster is a PhD student at the University of Colorado Boulder working in satellite remote sensing, sea level science, and physical oceanography. His current research focuses on satellite altimetry, specifically applying spatiotemporal machine learning representations to satellite altimeter measurements. He will give an invited talk on spatiotemporal ML representations of satellite altimeter data.

Advisory

Jason Xavier Prochaska

X. Prochaska is a professor at the University of California, Santa Cruz, working at the intersection of astronomy, data science, and machine learning. His research explores exponential growth in data-driven approaches to resolve ocean and atmospheric processes. He will present a lightning talk on riding the exponential to resolve ocean processes.

Participant

Roy An

Roy An is a graduate student at Texas A&M University exploring internal waves using in situ observation networks and the capability of SWOT.

Participant

Maya Anjur-Dietrich

Maya Anjur-Dietrich is a postdoctoral fellow at MIT studying particle formation and biofilms in picocyanobacteria and their influence on marine carbon cycling

Participant

Dhruv Apte

Dhruv Apte is a PhD student at the University of Texas at Austin working on probabilistic deep learning for sea-ice velocity estimation. His research focuses on breaking the ice with dual uncertainty approaches for sea ice prediction using SWOT data. He will present a lightning talk on probabilistic deep learning for sea-ice velocity with dual uncertainty.

Participant

Session chair

Yue (Luna) Bai

Yue Bai is a postdoctoral scholar at the Scripps Institution of Oceanography, UC San Diego, researching air-sea interactions in the open Southern Ocean.

Participant

Levi Cai

Levi Cai is a researcher at the University of Colorado Boulder working in oceanographic data analysis and machine learning. His research interests include applying ML methods to satellite oceanography and ocean dynamics. He is a registered participant in the workshop.

Participant

Krishna Calindi

Krishna Calindi has a MS in Computer Science from Texas A&M University with thesis research in storm severity prediction using lightning data. He is eager to contribute ML skills to projects in oceanography and collaborate with domain scientists. He is a waived participant in the workshop.

Participant

Brandon Castillo

Brandon Castillo is a Master's student at Moss Landing Marine Laboratories (San Jose State University) exploring how to implement deep learning with numerical modeling on glacier-sea interactions for accurately predicting changes in sea rise.

Participant

Ethan Cruz

Ethan Cruz is a first-year PhD student at the University of South Carolina researching the Loop Current & ocean fronts in the Gulf of Mexico with SWOT, PACE, HYCOM, & Machine Learning

Participant

Eugenio Cutolo

Eugenio Cutolo is a researcher at Atalaia AI working on machine learning applications for oceanographic data. His research focuses on AI-based approaches for ocean analysis and prediction. He will present a lightning talk at the workshop.

Participant

Jeffery Early

Jeffrey Early is a senior research scientist at NWRA in Seattle working to connect theory and modeling in geophysical fluid dynamics to ocean observations.

Participant

Xiao Ge

Xiao Ge is an Assistant Research Scientist at the Geochemical and Environmental Research Group (GERG), Texas A&M University, specializing in the analysis of ocean observations and numerical model data.

Participant

Yannik Glaser

Yannik Glaser is a postdoc at the University of Hawaii at Manoa with a PhD in Computer Science, specializing in training foundation models for scientific vision problems. His most relevant work includes WV-Net, a foundation model for scientific vision. He will present a lightning talk on pretraining a general-purpose SWOT object detection model.

Participant

Lauren Harvey

Harvey, Lauren Graduate Student Email: lrharvey@ucsd.edu Update Scripps Profile × Sign Up For Explorations Now Close

Participant

Session chair

Allison Ho

Allison Ho is a graduate student at the University of Hawaii at Manoa working on oceanographic applications of machine learning. Her research interests include applying ML methods to oceanographic problems. She will present a lightning talk at the workshop.

Participant

Junwei Hua

Junwei Hua is a PhD student at Texas A&M University working on the predictability of subsurface flow from sea surface height using machine learning. His research investigates why providing two snapshots of SSH with sufficient domain coverage can reconstruct subsurface flow structures. He will present a lightning talk on spatiotemporal observability in two-layer geostrophic turbulence.

Participant

Minghai Huang

Minghai Huang is a postdoc at Texas A&M University exploring SWOT.

Participant

Session chair

Aidan Janney

Aidan Janney is a researcher at UCAR/NCAR working on regional emulation of ocean models, specifically MOM6. His research focuses on developing machine learning emulators to replicate high-resolution ocean model behavior at reduced computational cost. He will present a lightning talk on regional emulation of MOM6.

Participant

Kaden Jimenez

Kade Jimenez is a graduate student at the University of Hawaiʻi at Mānoa exploring the use of satellite imagery and machine learning to better understand air-sea interaction.

Participant

Session chair

Siobhán Johnson

Siobhán Johnson has recently finished her PhD at the University of Cambridge and British Antarctic Survey working on the organic content of Antarctic sea ice. Her focus now is on improving remote sensing techniques for detection of sea ice in rifts, ice mélange and along coastal Antarctica.

Participant

Horim Kim

Horim Kim is a researcher at MIT working on connecting marine nitrous oxide emissions to ocean vertical transport. His research combines biogeochemical modeling with observational data to understand the role of ocean transport in greenhouse gas emissions. He will present a lightning talk at the workshop.

Participant

Inès Larroche

Ines Larroche is a second-year PhD student at LOPS (Laboratoire d'Oceanographie Physique et Spatiale) and Amphitrite, working on wave-current interactions. Her research investigates whether machine learning methods can statistically estimate the effects of surface waves on ocean currents. She will present a lightning talk on representing wave-current interactions with machine learning.

Participant

Suyue Li

Suyue Li is a graduate student at Texas A&M University exploring SWOT and Antarctic coastal currents and sea ice.

Participant

Sakib Mahmud

Sakib Mahmud is a remote participant working on latent signature sensing and ocean current reconstruction from glider flight and science streams. His research focuses on combining physical oceanography with signal processing and machine learning methods. He will present a remote lightning talk on reconstructing ocean currents from glider data.

Guest

Scott Martin

Scott Martin is a guest participant at the University of Washington's School of Oceanography. He is interested in oceanographic research and machine learning applications. He is a guest at the workshop.

Participant

Andrei Medvedev

Andrei Medvedev is a researcher at the University of Washington working on oceanographic applications. His research interests include applying computational methods to ocean science problems. He will present a lightning talk at the workshop.

Participant

Daniel Neshyba-Rowe

Daniel Neshyba-Rowe is a researcher at NorthWest Research Associates working on ocean data analysis and machine learning applications. He collaborates with Cim Wortham on ML-based approaches for oceanographic problems. They will present a joint lightning talk at the workshop.

Participant

Arjit Seth

Arjit Seth is a PhD student at the University of Texas at Austin with expertise in computational science and applied mathematics, focusing on scientific machine learning. His research applies adjoint-based stochastic parameterization methods to closure models in physical oceanography. He will present a lightning talk on adjoint-based stochastic parameterization for closure models.

Participant

Tanvir Shahriar

Tanvir Shahriar is a third-year PhD student in Mechanical Engineering at the University of Texas at Austin, working in physical oceanography, numerical ocean modeling, and scientific machine learning. His research involves implementing the 1-degree DINO configuration in MITgcm and adjoint-based sensitivity analysis of AMOC transport. He will present a lightning talk on this work.

Participant

Saulo Muller Soares

Saulo Soares is an assistant project scientist at the Scripps Institution of Oceanography of the University of California San Diego studying ocean eddies and internal waves with satellite altimetry and shipboard measurements.

Participant

Natalie Stamper

Natalie Stamper is a first-year doctoral candidate in Marine Sciences with an emphasis in physical oceanography at the University of South Carolina. She works in the Satellite Oceanography Laboratory, where her research focuses on ocean front dynamics in the Gulf of Mexico using satellite observations and machine learning. She is a registered participant in the workshop.

Participant

Nayana Venukanthan

Nayana Venukanthan is a first-year PhD student in Oceanography at Texas A&M University under Jinbo Wang. She recently completed her B.S. in Computer Science at Cornell University and plans to develop machine learning methods for oceanographic applications during her PhD. She is a waived participant in the workshop.

Participant

Cimarron Wortham

Cimarron Wortham is a research scientist at NWRA, working on improving mapped altimetry products and understanding the energy pathways of internal waves.

Participant

Feier Yan

Feier Yan is a researcher at Columbia University interested in applying machine learning to ocean dynamics. She is currently working on using diffusion models to reconstruct spatio-temporal ocean states from satellite observations. She is eager to collaborate with others at the intersection of ML and physical oceanography.

Participant

Yingjun Zhang

Yingjun Zhang is a postdoctoral scholar at the Scripps Institution of Oceanography, UC San Diego, whose current research focuses on SWOT, ocean eddies, and air-sea interactions.

Participant

Robert Keenan Forney

Robert Keenan Forney is a researcher at the U.S. Naval Research Laboratory with expertise in physical oceanography, including air-sea interactions related to tropical cyclones and ENSO. He has a current research need to investigate foundation modeling for the ocean-atmosphere system. He is a waived participant in the workshop.