- Acted as a technical consultant for a Swiss railway company, analyzing raw data related to track conditions and identifying issues affecting measurement accuracy- Presented actionable recommendations to improve data usability, necessitating a direct intervention with the measurement instrument supplier- Developed an information management strategy (or data pipeline) to facilitate the utilization of a predictive model for maintenance decision-making, enhancing operational efficiency

- Assisted in developing educational protein visualizations using PyMOL- Conducted classes and guided students in project-based learning, focusing on various subjects related to genetic disorders

- Mined public single-cell RNA sequencing datasets of different cancer indications to validate the target of a novel immunotherapeutic drug- Implemented a machine learning classifier for the identification of relevant immune cell sub-compartments from heterogenous scRNA-Seq data in R- Work was presented by my supervisor Ana Florescu at the 2022 Gordon Research Conference for Single-Cell Cancer Biology

- Conducted a comparative analysis of various single-cell RNA sequencing data analysis workflows, contributing to the understanding of process effectiveness- Operated largely autonomously throughout the project, maintaining effective communication with multiple teams in different geographic locations- Demonstrated adaptability by translating and adjusting to third-party code in R and Python