Yasmin Samy

Collaborative project across four KIT research groups studying Secondary Ice Production (SIP) in mixed-phase clouds, combining satellite retrievals and in-situ flight campaign data.

• • Built an end-to-end Python data pipeline to acquire, pre-process, and co-locate multi-source datasets: Himawari-8 satellite retrievals (brightness temperature, liquid water path) with airborne lidar and in-situ ice number concentration measurements.

• • Harmonised data structures across heterogeneous instruments and sampling frequencies to enable cross-group data sharing.

• • Developed and trained an XGBoost classification model to predict the occurrence of SIP events — handling class imbalance, feature engineering, and rigorous validation.

• • Coordinated four research working groups through periodic meetings, structured agendas, written minutes and progress presentations; served as the central communication hub across the collaboration.

• • Taught the graduate course Atmospheric Remote Sensing Infrastructures; mentored two student assistants (BSc and MSc) in data analysis and Python workflows.

PhD on Arctic aerosols — multi-station climatology of optical retrievals and evaluation of an advanced aerosol transport model.

• • Designed and executed a climatological-scale Python analysis of microphysical and optical aerosol parameters across six Arctic sites, using 7–20 years of AERONET ground-based time-series measurements per site.

• • Developed an original Python algorithm to compute aerosol parameters from mass and number concentration outputs of the GEOS-Chem TOMAS chemistry-transport model, running on Calcul Québec HPC clusters.

• • Validated model simulations against AERONET CIMEL sunphotometer / sky radiometer ground-based measurements using rigorous statistical comparison frameworks.

• • First-author and co-author of multiple peer-reviewed publications (see Publications).

Joint Egypt–USA research project on the climate impact of biogenic and anthropogenic atmospheric aerosols over Egypt.

• • Acquired and analysed 12 years (2003–2014) of MODIS and MISR satellite retrievals — multi-million-point time series datasets — and characterised seasonal and annual trends in aerosol optical depth and effective radius.

• • Applied HYSPLIT backward and forward trajectory modelling to investigate aerosol transport pathways.

• • Outreach: led production of an education activity book and two bilingual videos (English/Arabic); presented results at the U.S. Embassy in Cairo and USAID Cairo; co-led a team of 10–15 contributors organising Egypt's National Science Month across 20+ institutions.