Postdoctoral Fellow · CLEAR Center, UC Davis
I'm an animal scientist measuring & mitigating greenhouse-gas emissions from ruminants - where rumen biology meets artificial intelligence.
- Mohamed Embaby, PhD · Ruminant Nutrition & AI
I work at the meeting point of classical rumen nutrition and modern machine perception - building better ways to measure, and reduce, the methane that livestock release.
Trained as a ruminant nutritionist, I study enteric methane and rumen fermentation through in vitro batch and continuous-culture systems, gas chromatography, and a wet-lab toolkit spanning fiber, protein, and volatile-fatty-acid analysis. My doctoral work at Southern Illinois University examined how bromoform and other feed additives reshape methane production and fermentation in the rumen.
From the rumen to the camera - measurement is where better livestock decisions begin.
More recently I've paired that biology with computer vision, co-developing deep-learning models - Gasformer, GasTwinFormer, and the CarboNeXT family - that segment and quantify methane and CO₂ straight from optical-gas-imaging cameras, turning thermal video into emissions data. I'm a co-investigator on USDA-NIFA projects bringing AI to greener livestock and to early detection of subacute ruminal acidosis.
Today I'm a postdoctoral fellow at the CLEAR Center at UC Davis, focused on clear, science-based understanding of animal agriculture and climate. My path here ran through Egypt, Greece, France, and the United States - including earlier careers in official statistics and geospatial analysis that still shape how I work with data.
Three connected threads run through my work - the biology of methane in the rumen, the artificial intelligence that lets us see and measure it, and the plant genetics that improves what animals eat.
Using in vitro batch and continuous-culture fermenters, I test how feed additives - bromoform, unconventional plant and essential oils, and non-forage fiber sources - change methane output and the fermentation profile of the rumen, measured down to individual volatile fatty acids by gas chromatography.
With computer-vision collaborators, I help build transformer-based models that segment and quantify methane and CO₂ from optical-gas-imaging video - Gasformer (CVPR), GasTwinFormer (ICCV), and the CarboNeXT / CarboFormer family - plus emerging systems for detecting subacute ruminal acidosis from gas signatures.
As part of a soybean-genetics team, I've contributed to TILLING-by-Sequencing+ studies that map the genes shaping seed oil, protein, and sugar - work that improves the nutritional value of the crops that ultimately feed livestock.
Before the lab, I worked as a statistician at Egypt's CAPMAS, trained in GIS & geoinformation in Greece and at the Sorbonne, and consulted on civil-registration & vital-statistics systems for the League of Arab States.
A selection of my peer-reviewed papers, conference proceedings, and theses across animal science, applied AI, and plant genomics.
All on Google Scholar29 works shown · see citation counts on Google Scholar
2025 - present
Postdoctoral Fellow
CLEAR Center, University of California, Davis
2024 - 2025
Postdoctoral Fellow, Animal Science
Southern Illinois University, Carbondale
2015 - 2023
Research Assistant, Animal-Nutrition Lab
National Research Centre, Egypt
2009 - 2015
Statistician
CAPMAS - Central Agency for Public Mobilization & Statistics, Egypt
Consultancy
Civil-Registration & Vital-Statistics Consultant
League of Arab States
2024
PhD, Agricultural Sciences
Southern Illinois University, Carbondale
2018
M.Sc., Animal Science
Southern Illinois University, Carbondale
2014
M.Sc., Geoinformation in Environmental Management
Mediterranean Agronomic Institute of Chania (MAICH), Greece
Diploma
International Diploma, GIS for Development
EPHE · Sorbonne, Paris
2008
B.Sc., Agriculture (Animal Production)
Fayoum University, Egypt
Detecting subacute ruminal acidosis using a real-time deep-learning algorithm
USDA-NIFA · 2023-70001-40997
Co-PIArtificial Intelligence for Greener Livestock
USDA-NIFA · 2022-70001-37404
Co-PIA solar-powered mobile cooler for safer postharvest handling of strawberry
Illinois Specialty Crop Grant Program
Co-PISeed grants - soybean research
SIUC · United Soybean Board · 2022-2024
Co-PIFulbright Scholarship
M.Sc., Animal Science - Southern Illinois University
AwardCIHEAM Award
M.Sc. - Mediterranean Agronomic Institute of Chania
Award