Posted in 2018


  • 03 December 2018

I will present research on detecting relaxations of Simpson’s Paradox and the Women in Machine Learning and Black in AI workshops co-located with the Neural Information Processing Systems conference

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Mozilla Open Leaders

  • 05 September 2018

I was accepted to participate in the Mozilla Open Leaders Program Cohort 6. I will be working on a project inspired by my teaching with the Carpentries and my own challenges in learning to package my python projects: Good Enough Open Source Practices for Data Analysis in Python.

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Brown at Brown

  • 01 August 2018

I’ve moved to the Brown Data Science Initiative to continue my postdoctoral training.

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CarpentryCon 2018

  • 30 May 2018

I’m giving a talk and presenting a poster on using load magic in Jupyter notebooks for teaching with the Carpentries and how we could better organize curriculum to support this teaching style at CarpentryCon in Dublin. The slides and poster are both available on the conference Github repository.

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My first Software Carpentry Workshop

  • 10 April 2018

Last month, I spent a weekend across the bay at UCSF teaching introductory python with the SWC Python Gapminder in a workshop hosted by the UCSF Library. My first experience teaching with the carpentries went well, I think. It was fun and exhausting. After the second day, I turned down meeting friends in SF doing tourist things and instead went home and sat. In the dark. In silence. Despite the fact that I find teaching fun, I also identify strongly as an introvert and find interacting with people for long periods of time exhausting. I recharge by being alone.

Now that I’ve had some time to recover, and to recover from the things I had booked too many back to back, I’ve sorted through my thoughts and want to share about my first teaching experience.

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Race & AI Panel

  • 09 April 2018

As a part of the week long 8th Annual Race and Policy Symposium hosted by the Students of Color in Public Policy I spoke on a panel on Race and Artificial Intelligence with Brian Hofer of the City of Oakland Privacy Advisory Commission and moderated by Antoinette Davis of Impact Justice.

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ML at Berkeley

  • 05 April 2018

I gave at talk to Berkeley undergraduates at the Machine Learning at Berkeley (ML@B) general meeting. I talked about work in progress and we had a great discussion interpreting the results. They asked great questions about both technical details of the work and the broader implications and positioning of the work.

The abstract I provided for the talk is here: In the age of Big Data, we now have data for an abundance of new concepts that have been historically studied only qualitatively. Data science tools make working with data accessible to those even without a background in the underlying statistics. Together, these facts mean that the way that machine learning algorithms are being used is often quite different from how the use cases imagined when they were designed. My work aims to answer the question, how to we need to adapt or augment machine learning algorithms to facilitate data driven discovery in these domains? In this talk, I’ll frame some of the common technical challenges in my work and show preliminary results on tools I’m building to augment ML algorithms.

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Data Carpentry at NSBE

  • 22 March 2018

I presented a workshop at NSBE’s 44th Annual Convention on Data visualization and management using an excerpt of the Data Carpentry Python Ecology Lesson. The post workshop content is available on github. Dr. Kari Jordan, of Data Carpentry co-facilitated the workshop with me and a special thanks to Dr. Christan Grant for helping others troubleshoot as well.

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CMU ML Lunch

  • 19 March 2018

I gave at talk at the Carnegie Mellon University machine learning lunch. I talked about work in progress to elicit priors inspired by grad student descent experiences during my PhD and our upcoming FLAIRS paper- plus the work we’re doing to extend it.

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