I'm a Ph.D. experienced in leveraging numerical models and cutting-edge ML/AI algorithms to simulate and predict time-sequences of crop biomass/yield and GHG emissions under various climatic and management scenarios. I also translate model outputs into actionable insight via cost-benefit analysis to inform policy and business decision-making. My expertise in integrating domain knowledge into ML model development brings significantly enhanced model performance. I'm passionate about ML and AI applications with big data to tackle important global issues of food security and climate change.
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Postdoctoral ResearcherAi-Leaf InstituteUnited States -
Data ScientistTasa Analytics, Llc Oct 2024 - Present -
Research Scientist InternPaii May 2024 - Sep 2024Palo Alto, California, United StatesCompiled benchmark datasets of satellite imagery for pretraining and fine-tuning; Pipelined the process of image-text generation using LLM API; Improved the quality of image-text pairs by incorporating geospatial analysis and different tokenization approaches; Dived deep into frameworks of vision transformer backbones (Vit/Swin/DINO) and VLMs (CLIP/BLIP1/BLIP2); Pretrained a customized VLM by aligning and optimizing vision and text encoders. -
Research AssistantUniversity Of Minnesota Nov 2021 - Aug 2024Twin Cities, MinnesotaConducted systematic literature review on socio-environmental perforamnces of two US-promoted climate-smart agricultural practices. Developed meta-random-forest models to generate spatially-explicit predictions of carbon offsets and economic outcomes. Mapped optimized pathways based on cost-benefit analysis (in US$) to inform policy making.
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Research FellowUniversity Of Minnesota Sep 2022 - Aug 2023Fellowship research at UM Informatics Institute. Pretrained a baseline ML model (GRU-SOC) to simulate SOC change dynamics and crop yield using large quantity of synthetic data. Designed knowledge-guided ML models (KGML-SOC) that outperformed the baseline by introducing a hierarchical structure, a customized loss function, and intermediate variables.
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Research AssistantUniversity Of Minnesota Jan 2020 - Oct 2021Calibrated and validated process-based model performances on soil water and temperature, and CO2 and N2O fluxes. Identified spatial-temporal drivers and variations of N2O emissions in the US Midwest and and drivers using causal inference (PCMCI). Predicted carbon mitigations and social benefits under 12 climatic × management scenarios.
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Research AssistantUniversity Of Minnesota Sep 2019 - Dec 2019Derived time-series of vegetation indices (NDVI, CGVI, EVI) using Sentinel-2 satellite imagery. Obtained the peak GCVI as an indicator for oak yield with using harmonic regression. Delineated field management zones of high, medium and low production potentials using k-mean classification.
Yufeng Yang Education Details
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Gpa 3.95/4.0
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Hydraulic Engineering -
Hydraulic Engineering
Frequently Asked Questions about Yufeng Yang
What company does Yufeng Yang work for?
Yufeng Yang works for Ai-Leaf Institute
What is Yufeng Yang's role at the current company?
Yufeng Yang's current role is Postdoctoral Researcher.
What schools did Yufeng Yang attend?
Yufeng Yang attended University Of Minnesota, Tsinghua University, Beijing Normal University.
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Yufeng Yang
Hardware & Robotics | Northwestern Msee | Graduate Research Assistant @ Hand Erc & Northwestern CrbEvanston, Il -
Yufeng Yang
Phd Student At Osu | Incoming Intern At Meta | Prev. Intern At Meta, Merl, MicrosoftColumbus, Oh -
yufeng yang
Tempe, Az
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