Rachel D’Souza is an undergraduate student studying Electrical Engineering with a concentration in Automatic Controls. Her academic interests lie at the intersection between engineering and biology, with her past research experience involving using statistical analysis and machine learning to accurately interpret biomarker data predicting Alzheimer’s disease and modeling Bone Morphogenetic Protein (BMP) signaling networks in Drosophila stem cell maintenance and embryonic development and investigating mechanisms of robustness, cell fate decisions, and tissue patterning. She is also passionate about applications of engineering in community service, and is actively involved with the Space and Earth Analogs Research Chapter and the Engineers Without Borders chapter at Purdue University.