Analyzing shortwave and longwave radiation albedo data from a UAV flight over Svalbard, Greenland with MATLAB and generating a GIS visualization of it. Example [PNG].
Speccing out and locally integrating new environmental sensors for a fixed-wing UAV
Maintaining, restoring, and calibrating a quad-camera polarimeter for fieldwork on the R/V Falkor
Performed a survey of the bitcoin mining hardware market in hopes of predicting the future behavior of the hardware market as well as the bitcoin mining difficulty. Whitepaper available [PDF].
Researched the behavior of high altitude balloons in the atmosphere, specifically on achieving neutral buoyancy without active controls.
Discussed my findings in my "Extended Essay" requirement for the International Baccalaureate diploma. Available [PDF].
Publications
2025
"Towards Operational Automated Greenhouse Gas Plume Detection"
In preparation.
Jake H Lee, Michael Kiper, David R Thompson, Philip G Brodrick
"SpecTf: Transformers Enable Data-Driven Imaging Spectroscopy Cloud Detection"
In press. [Preprint][GitHub][Zenodo]
Vassiliki Mancoridis, Brian Bue, Jake H Lee, Andrew K Thorpe, Daniel Cusworth, Alana Ayasse, Philip G Brodrick, Riley Duren
"Multi-Platform Methane Plume Detection via Model and Domain Adaptation"
In revision.
Diana Scognamiglio, Jake H. Lee, Eric Huff, Sergi R. Hildebrandt, Shoubaneh Hemmati
"Denoising Diffusion Probabilistic Model for realistic and fast generated Euclid-like data for weak lensing analysis"
The Astrophysical Journal, 985 2, 2025.
[Preprint][ApJ]
Samuel Favrichon, Jake Lee, Yan Yang, Ricardo Dalagnol, Fabien Wagner, Le Bienfaiteur Sagang, Sassan Saatchi
"Monitoring Changes of Forest Height in California"
Frontiers in Remote Sensing, 5 2025.
[Frontiers]
2024
Mark Wronkiewicz, Jake Lee, Lukas Mandrake, Jack Lightholder, Gary Doran, Steffen Mauceri, Taewoo Kim, Nathan Oborny, Thomas Schibler, Jay Nadeau, James K. Wallace, Eshaan Moorjani, Chris Lindensmith
"Onboard Science Instrument Autonomy for the Detection of Microscopy Biosignatures on the Ocean Worlds Life Surveyor"
The Planetary Science Journal, 5 19, 2024.
[Preprint][AAS PSJ]
Jake Lee, Brian Bue, Philip G Brodrick, Andrew K Thorpe, William Keely, Michael Kiper, Jay Fahlen
"Spectral Transformers for EMIT Methane Retrieval"
AGU Fall Meeting, 2024, #A53I-2209.
[AGU]
Brian Bue, Jake Lee, Andrew K Thorpe, Philip G Brodrick, Daniel Cusworth, Robert O Green, Riley Duren
"Challenges and Opportunities in Operational Automated Methane Plume Detection"
AGU Fall Meeting, 2024, #A52C-07.
[AGU]
William Keely, Philip G Brodrick, Andrew K Thorpe, Jake Lee, Jay Fahlen
"Methane emission quantification using diffusion applied to imaging spectroscopy time series for EMIT"
AGU Fall Meeting, 2024, #A05-07.
[AGU]
Michael Kiper, Jake Lee, Philip G Brodrick, David R Thompson
"Spectral Transformers for Earth Science; A Case Study with EMIT Cloud Masking"
AGU Fall Meeting, 2024, #GC41H-0038.
[AGU]
Yuval Sadeh, Sheila Baber, Yuchi Ma, Oleksandra Oliinyk, Louise Leroux, Tesfaye Shiferaw, Gerald Blasch, Christina Jade Justice, Blake Munshell, Mark Wronkiewicz, Jake Lee, David B Lobell, Inbal Becker-Reshef
"Advancing Field-Scale Yield Prediction for Data-Limited Agricultural Regions"
AGU Fall Meeting, 2024, #GC22E-02.
[AGU]
2023
Jake Lee, Brian D Bue, Andrew K Thorpe, Daniel Cusworth, Alana Ayasse, and Riley Duren
"Deep Learning Saliency and Segmentation Methods for Robust Methane Plume Detection"
AGU Fall Meeting, 2023, #A43R-3011.
[AGU][Abstract/Poster]
Brian Bue, Jake Lee, Jack Lightholder, Andrew K Thorpe, Daniel Cusworth, Alana Ayasse, and Riley Duren
"Towards Operational Automated Methane Plume Monitoring"
AGU Fall Meeting, 2023, #A11C-07.
[AGU]
Anagha Satish, Brian D Bue, Jake Lee, Andrew K Thorpe, Daniel Cusworth, Alana Ayasse, and Riley Duren
"Improving Deep Learning Methods for Robust Methane Plume Detection using Alternative Input Representations"
AGU Fall Meeting, 2023, #A43R-3021.
[AGU]
Vassiliki Mancoridis, Brian D Bue, Jake Lee, Andrew K Thorpe, Daniel Cusworth, Alana Ayasse, and Riley Duren
"Leveraging Airborne Data to Enable Spaceborne Methane Plume Detection via Model and Data Driven Approaches"
AGU Fall Meeting, 2023, #A43R-3022.
[AGU]
Philip Brodrick, Jay Fahlen, Red Willow Willow Coleman, David R Thompson, Andrew K Thorpe, Clayton Elder, Claire Villanueva-Weeks, Amanda Lopez, Jake Lee, Brian D Bue, K. Dana Chadwick, and Robert O Green
"Algorithm advances for an operational imaging spectroscopy greenhouse gas detection system - lessons from EMIT after a year in orbit"
AGU Fall Meeting, 2023, #A43R-3009.
[AGU]
2022
Jake Lee, Brian Bue, Micahel Garay, Andrew Thorpe, Riley Duren, Daniel Cusworth, Alana Ayasse.
"Robust Multi-Campaign Imaging Spectrometer Methane Plume Detection using Deep Learning"
AGU Fall Meeting, 2022, #A15L-1395.
[Abstract/Poster]
Jake Lee, Samuel Favrichon, Steffen Mauceri, Yan Yang, John Armston, Sassan Saatchi.
"Addressing Underestimation in Global Forest Structure Mapping"
AGU Fall Meeting, 2022.
[Abstract/Slides]
Steffen Mauceri, Jake Lee, Mark Wronkiewicz, Lukas Mandrake, Gary Doran, Jack Lightholder, Zuzana Cieslarova, Miranda Kok, M. Fernanda Mora, Aaron Craig Noell.
"Autonomous CE Mass-Spectra Examination (ACME) for the Ocean Worlds Life Surveyor"
Earth and Space Science, 2022.
[AGU Earth and Space]
Fabien H. Wagner, Ricardo Dalagnol, Alber H Sánchez, Mayumi C. M. Hirye, Samuel Favrichon, Jake H. Lee, Steffen Mauceri, Yan Yang, and Sassan Saatchi
"K-textures, a self-supervised hard clustering deep learning algorithm for satellite image segmentation"
Frontiers in Environmental Science, 2022.
[Frontiers]
Megan M Dubay, Nikki Johnston, Mark Wronkiewicz, Jake Lee, Christian A Lindensmith, Jay L Nadeau.
"Quantification of Motility in Bacillus subtilis at Temperatures Up to 84°C Using a Submersible Volumetric Microscope and Automated Tracking
Frontiers in Microbiology, 2022.
[Frontiers]
Hannah Kerner, Umaa Rebbapragada, Kiri L Wagstaff, Steven Lu, Bryce Dubayah, Eric Huff, Jake Lee, Vinay Raman, Sakshum Kulshrestha.
"Domain-agnostic Outlier Ranking Algorithms (DORA)-A Configurable Pipeline for Facilitating Outlier Detection in Scientific Datasets"
Frontiers in Astronomy and Space Sciences, 2022.
[Frontiers]
2021
Jack Lightholder, Mark Wronkiewicz, Jake Lee, Thomas Schibler, Steffen Mauceri, Gary Doran, Eshaan Moorjani, Christian Lindensmith, Lukas Mandrake.
"Onboard Science Autonomy for the Ocean Worlds Life Surveyor (OWLS) Instrument Suite"
American Geophysical Union 2021 Fall Meeting, 2021.
[tbd]
Arjun Ashok Rao, Steffen Mauceri, Andrew Thorpe, Jake Lee, Siraput Jongaramrungruang, Riley Duren.
"Improving Imaging Spectrometer Methane Plume Detection with Large Eddy Simulations"
American Geophysical Union 2021 Fall Meeting, 2021, #GC45B-0838.
[abstract/poster]
Jake Lee, Steffen Mauceri, Jack Lightholder, Mark Wronkiewicz, Gary Doran, Lukas Mandrake, Zuzana Cieslarova, Miranda Kok, Maria Mora, Aaron Noell.
"Onboard Autonomous Summarization and Prioritization of CE-ESI MS Data for the Ocean Worlds Life Surveyor"
American Geophysical Union 2021 Fall Meeting, 2021, #P15C-2112.
[abstract/poster]
Jake Lee, Steffen Mauceri, Sharmita Dey, Arjun Ashok Rao, Ryan Alimo, Andrew Thorpe, Siraput Jongaramrungruang, Riley Duren.
"Methane Plume Detection weith Future Orbital Imaging Spectrometers"
American Geophysical Union 2021 Fall Meeting, 2021, #GC15B-0690.
[abstract/poster]
D. E. Stillman, K. M. Primm, B. Bue, K. L. Wagstaff, J. H. Lee, A. Ansar.
"RSL Geostatistics Show Slopes Above the Angle of Repose and Significant Enhancement After Mars Year 34 Dust Storm"
52nd Lunar and Planetary Science Conference, 2021.
[abstract][adsabs]
Kiri Wagstaff, Steven Lu, Emily Dunkel, Kevin Grimes, Brandon Zhao, Jesse Cai, Shoshanna B. Cole, Gary Doran, Raymond Francis, Jake Lee, and Lukas Mandrake.
"Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances"
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021.
[abstract][AAAI Proceedings]
2018-2020
Horton, P., Ravichandar, S., Lee, J., Kerner, H. R., Natha, A., Soliman, T. K., Grimes, K., Wagstaff, K., Verma, R., McAuley, J.
"Novelty and Discovery Content Analysis Methods for the Planetary Data System Image Atlas"
American Geophysical Union 2020 Fall Meeting, 2020, #P004-0013.
[abstract]
Lee, Jake H. and Wagstaff, Kiri L.
"Visualizing Image Content to Explain Novel Image Discovery"
Data Mining and Knowledge Discovery, 2020.
[arXiv][Springer][paper website]
Lee J., Yang J., Wang Z.
"What Does CNN Shift Invariance Look Like? A Visualization Study"
2020 European Conference on Computer Vision Workshop on Real-World Computer Vision from Inputs with Limited Quality (RLQ-TOD), 2020.
[arXiv][Springer][paper website][interactive demo][presentation video]
Lu, S., Wagstaff, K., Cai, J., Doran, G.B. Jr., Grimes, K., Lee, J., Mandrake, L.
"Content-based Classification of Mars Imagery for the PDS Image Atlas"
American Geophysical Union Fall Meeting 2019, 2019, #P43E-3509.
[abstract]
S. Lu, K. L. Wagstaff, J. Cai, G. Doran, K. Grimes, J. Lee, L. Mandrake, Y. Yue.
"Improved Content-Based Image Classifiers for the PDS Image Atlas"
4th Planetary Data Workshop, 2019.
[pdf]
Wagstaff, Kiri L., and Lee, Jake.
"Interpretable Discovery in Large Image Data Sets"
2018 ICML Workshop on Human Interpretability in Machine Learning, 2018, pp.107-113.
[arXiv] [Workshop] [paper website]
Organizations
FRC 2404: Head coach for FIRST Robotics Competition Team 2404: Team NEY Techs. Non-profit community team of students in the Pasadena and Altadena areas. Focus on electronics, programming, and control. 7-year FIRST alum.
NYC Makes PPE: Helped organize, manufacture, and deliver hundreds of thousands of personal protective equipment in NYC during the height of the COVID-19 pandemic. Contributions included logistics, DIY PPE design, and strategy/direction.
Columbia Social Entrepeneurship Group Tech: Founder and former director of CSEG Tech. Provided dedicated tech and data science services to social impact organizations, including nonprofits and social enterprises.
Columbia Space Initiative:High Altitude Balloons Mission Director, led a team of students to launch a balloon with scientific payloads to ~100,000ft. First launch in 2016 received a lot of media coverage by Columbia University. Visit the mission page here.
Columbia Makerspace: Superuser (student volunteer) for three years. The makerspace provides various tools and materials, such as 3D printing and laser cutting, to students and faculty. Also consulted on various projects that come through the space and assisted other labs as necessary.
Columbia Pops Orchestra: Cellist and video producer for the Columbia Pops Orchestra. All pieces are pop, movie, and video game soundtracks arranged and performed by students.
![[PNG]](/assets/img/Flight02_path_albedo_map.png){kind=link}