My name is Antonella Basso (she/her/ella), or Nelly for short. I was born in Lima, Peru and moved to the U.S. when I was 9 years old. From a young age, I’ve sought to learn about abstract concepts and had an unquenchable thirst for knowledge and understanding. My innate sense of curiosity, enthusiasm for problem solving, and analytic way of thinking, eventually transpired into a passion for computation, mathematics, and technology; an appreciation for research; and a desire to pursue a career in the quantitative sciences.
I am currently a senior at Agnes Scott College double majoring in mathematics and philosophy with a minor in artificial intelligence, specializing in global learning. In addition to taking courses online this semester, I’m continuing the research I began this summer at the Summer Program for Biostatistics and Computational Biology at Harvard T.H Chan School of Public Health, under the mentorship of Dr. Rachel Nethery. This research involves the exploration and use of unsupervised machine learning algorithms to identify coal-ash contaminated groundwater wells in the midwest from vast amounts of gathered sample data.
After graduation, my goal is to pursue a Ph.D. in Biostatistics that will allow me to utilize and strengthen my combined skills and interests in mathematics/statistics, data science, and machine learning, to make significant contributions to public health research. Specifically, I hope to expand on my current research on algorithmic fairness and explore different ways to address and reduce biases that often arise in predictive machine learning and lead to various social injustices. It is my ultimate goal to use my talents and quantitative skills to solve complex problems in public health and contribute to both scientific and societal advancements.
You can access my CV here.
Biostatistics | Big Data | Machine Learning | Statistical Computing | Causal Inference | Bias | Missing Data | Algorithmic Fairness | Health Disparities | Environmental Health | Clinical Trials