Discovering subgroups of Parkinson’s patients during Covid-19 to perform a detailed analysis of the ways potential subgroups within the community have been impacted by the pandemic. — There are many lingering questions surrounding Covid-19; as time passes, we unveil the varied impact of the disease on different subgroups. It’s instinctual to try and understand the impact stratified by high-level demographics; however, what is the impact on communities that suffer from neurological impairments?

For machine learning engineers, the companies that hire them, and the users who are impacted by the algorithms they’ve tuned: — Shortly after I began my machine learning courses, it dawned on me that there is an absurd exaggeration in the media concerning the state of artificial intelligence. Many are under the impression that artificial intelligence is the study of developing conscious robotic entities soon to take over planet earth. I…

Does the visceral response arise as a response to the facials and gestures or the individual movements of the dancer? Could the reaction be explained when constrained to the elements within the four walls of the theater? — Co-authored with Victor Nazlukhanyan When faced with hardships as an adult, throwing a tantrum may be irrational and inane. However, on the stage, tantrums are permitted — and encouraged. I found myself collapsing through the hits, flying through the hardships, spinning through the confusion, jumping through happiness, pacing through anxiousness…

A philosophical, fictional, short story packed with ethical concerns regarding post-humanism, embodiment and the future of human-machine intelligence. — ‘Now, if everyone would please welcome our other primary guest speaker. Please be respectful and attentive to Ms. Audrey Winter!’ The lights are dimmed, the sound waves bouncing from each wall of the theater comes to a halt as the host just finished calling my name, and the air between…

A conversation where Nicolas discusses his experience dealing with big data in an applied machine learning intensive at Google, the intricacies of model fine-tuning for the Linear Regression final project, as well as how he plans to tackle global language barriers through natural language processing. — Nicolas joined the USF MSDS program after obtaining a bachelor’s in Mathematical Economics from Pitzer College. Listen in to learn more about his background and his thoughts on the University of San Francisco’s MSDS program.

A conversation where Sophie discusses her discovery of data science while working at a multinational firm, the intermingling of hands on experience and theoretical knowledge in the program, and her excitement to apply machine learning techniques to provide personalized exercise programs for a commonly overlooked population. — Sophie Wang joined the USF MSDS program after obtaining her bachelor’s in business with a concentration in finance and accounting at Emory University and working as a senior consultant at Deloitte. Listen in to learn more about her background and her thoughts on the University of San Francisco’s MSDS program.

A conversation where Evan discusses the path that has solidified his conviction to pursue data science in the healthcare domain, the high intensity of the program yielding significant progress, and how he persevered through getting lost in Colombia. — Evan Chen joined the USF MSDS program after obtaining his bachelor’s in Chemical Engineering and working as a medical device consultant and data analyst at a biotech consulting startup. Listen in to learn more about his background and his thoughts on the University of San Francisco’s MSDS program.

A conversation where Patrick discusses his discovery of data science while doing geospatial modeling, the applications of data science for societal impact, and how the diversity of USF MSDS supports productive and innovative collaboration. — Patrick Poon joined the USF MSDS program after obtaining his master’s in Water Resources Engineering and his bachelor’s in Environmental Engineering. Listen in to learn more about his background and his thoughts on the University of San Francisco’s MSDS program.

A conversation where Daniel discusses his application based approach to data science and the vast multitude of applications including AI generated synthetic media, healthcare, and cryptocurrency. — Daniel Blessing joined the MSDS program after obtaining his bachelor’s degrees in Applied Mathematics and Statistics and Chemical and Bimolecular Engineering at John Hopkins University. Can you start by telling us a little bit about your background?