Hello :)



I'm Shira. I'm currently studying climate change in oceans using AI to map changes in the plankton genome, as well as studying linguistics over networks using Natural Language Processing and finetuned Large Language Models. I am also a contributing fellow at AI & Faith, where I write pieces exploring AI & genomics, AI Ethics, and more. I recently worked as an AI Language Systems Researcher at MIT Lincoln Laboratory and a technical consultant at CDC, most recently on Changes in the Scientific Information Environment During the COVID-19 Pandemic: The Importance of Scientific Situational Awareness in Responding to the Infodemic..

I graduated from the University of Chicago with a B.S. in Computer Science, with a specialization in Human Computer Interaction and focus in Neuroscience. I've been involved in Artificial Intelligence research and development since summer of 2015, when I conducted research as a rising high school senior at the Harvard Vision Sciences Laboratory, and went on to receive 2nd Prize internationally in Behavioral Science at the Intel International Science and Engineering Fair (Intel ISEF) 2016 and the Synaptics Special Award for the Innovative use of Human-Computer Interaction, based on my study of the unconscious perception of action goals and preparatory information in competitive interactions on the human-computer interface.

Since then, I developed a machine learning solution for categorizing and recommending high impact articles for the Centers for Disease Control and Prevention (CDC) Stephen B. Thacker Library, built novel domain-specific word embedding and entity matching pipelines for Intel Corporation, conducted research on the automated summarization of long-form scientific articles at The Toyota Technological Institute at Chicago, received the Liew Family Research Fellowship for a project developing a novel adaptive system for summarizing and simplifying complex texts for user-specific needs, developed the BetterBottle, a bluetooth-based system for automatically logging (via water level sensor) and communicating the amount of water consumed to a water tracking app or wearable, and created a novel framework to enable flexible and robust Automated Machine Learning on raw text data at Massachussetts Institute of Technology (MIT) Lincoln Laboratory. My recent work at MIT focused on using state-of-the-art language models and zero-shot and few-shot learning techniques in authorship profiling from text and other tasks relevant to AI-assisted decision making. I also developed an AI social game, Songs No One Asked For, for generating song lyrics based on user input.

In and out of tech, I'm always exploring new trajectories, discovering new interests, and beginning new pursuits. Some highlights include co-authoring a paper on the National Amyotrophic Lateral Sclerosis (ALS) Registry in the Morbidity and Mortality Weekly Report (MMWR), singing (she made a soundcloud of phone recordings of ukulele covers at the insistence of a few of her friends), making art, volunteering for Peer Health Exchange, and serving as Communications Director on the board of CompileHer, a non-for-profit University of Chicago student-run organization that seeks to engage middle school girls in hands-on computer science activities in an effort to close the technology gender gap. We were recently acknowledged by the Obama Foundation.

As an overarching theme, I'm driven to question what's possible, discover what is, and create what should be. Hedy Lamarr sums it up pretty well: “Hope and curiosity about the future seemed better than guarantees. That’s the way I was. The unknown was always so attractive to me ... and still is.”

Get in touch

Please feel free to reach out via email or connect with me on social media

Much like myself, this site is a work in progress, so check back soon to see if anything has changed.

Looking forward to hearing from you.

- Miriam "Shira" Eisenberg