Jemal Seid A.

Data Scientist @Alliance of Bioversity International and CIAT

Pisa, IT
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Oct 2024 — Present

Data Scientist @Alliance of Bioversity International and CIAT

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Addis Ababa, ET

EDUCATION

N/A

University of Gondar

Bachelor of Applied Science - BASc, Physics

2009 — 2011

Addis Ababa University

M.Sc, Atmospheric Physics

N/A

Scuola Superiore Sant'Anna

Doctor of Philosophy - PhD, Climate Science and Agrobiodiversity

SKILLS

Mathematical ModelingPythonScientific ComputingSimulationsClimatologyStatisticsMatlabTeachingComputational PhysicsFortranExperimentationRemote SensingClimate ModelingPhysicsBashResearchHigh Performance Computing (Hpc)Numerical AnalysisScienceIdlR ProgrammingData AnalysisSpectroscopyLatexProgramming

ABOUT JEMAL SEID A.

My research work is focused on the goal of increasing the use of weather and seasonal climate forecasts as well as quantification of occurrence extreme climate analysis to increase the efficiency of crop systems by reducing risk and taking advantage of climate information. I do this through the development/ improvement of user-friendly, Scientifically robust climate-crop simulation models and decision support tools to improve crop and soil management. My research includes 1) evaluating and downscaling global seasonal forecast using the WRF modeling system, 2) tailoring weather forecast information towards the needs of the farming community, 3) developing/improving decision support toolkits for improving crop production, 4) developing methods to link/couple climate models and crop models to improve stakeholder’s decision making https://ethioagroclimate.net/ and 5) developing strategies for downscaling Global and Regional Climate Model outputs. I work on a team with faculty specialists in meteorology, climatology, remote sensing and GIS, physiology, irrigation engineering, soil science, weed science, breeding and genetics, plant pathology, entomology, and agricultural economics. I use an integrated system approach combining field research with simulation modeling and validation to ensure the widest possible extrapolation of results.

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Jemal Seid A. — Data Scientist at Alliance of Bioversity International and CIAT in Pisa, IT | Unifers