Tamara Broderick
@ta_broderick
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Associate Professor @MITEECS @mitidss #statistics #machinelearning
Joined December 2015
RT @renberlinghieri: So exciting to see MIT news featuring our work (accepted at ICML) on how to better predict currents and identify diver….
news.mit.edu
Computer scientists and oceanographers developed a machine-learning model that generates more accurate predictions about the velocities of ocean currents. The model could help make more precise...
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It's been wonderful working with an amazing team: MIT student Nicholas Bonaker, Dr. Emli-Mari Nel @NelEmli, and Prof. Keith Vertanen. We are indebted to @SpecialEffect, the @AceCentre, a variety of folks who offered us invaluable preliminary feedback, and our study participants.
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Nomon uses Bayesian inference to make the most of the limited information we get from users. You can find more info and try it out yourself at ! Our new paper is slated to appear in #CHI2022, and a preprint is available at
arxiv.org
Some individuals with motor impairments communicate using a single switch -- such as a button click, air puff, or blink. Row-column scanning provides a method for choosing items arranged in a grid...
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I'm excited to see our work on the MIT front page today! Our method, Nomon, is designed to help folks with severe motor impairments (e.g. locked-in syndrome, cerebral palsy, advanced ALS) write, draw, game, and use computers in ways that many of us take for granted.
A new system makes it easier for severely motor-impaired individuals who communicate using a single switch to select letters or words from an interface. The technology is more flexible than other options and could be also used for tasks like drawing.
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At the link, you'll also find @david_sontag's great guest lecture on "Machine learning in healthcare." Big thanks to amazing lecture TAs Crystal Wang & Satvat Jagwani, super captioner Jeffrey Shen, and all the fantastic 6.036 course staff.
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In Fall 2020, I gave the lectures for MIT's 6.036 "Introduction to Machine Learning" course. You can find all of my lectures (with full captions) & slides at this link:
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