Resources

Here are some resources I’ve compiled for students or others looking to learn more about remote sensing, machine learning, etc.

Introduction to Earth Observation

Introduction to Machine Learning/Deep Learning

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Tired of hearing the excuse that the women did not exist to invite as speakers in response to complaints about all-male panels and general lack of gender diversity, I helped create a list of impressive women in STEM as a resource for future invitations.

Suggestions of Female Speakers in STEM

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(Mostly Non-Technical) Book Recommendations I read a lot of books from a wide variety of genres and find huge value in reading books that are not related to my research/expertise. Here are my favorite books from each year, in hopes that they bring you value and joy as well:

2020

• The Last Girl by Nadia Murad
• The Nickel Boys by Colson Whitehead
• When They Call You a Terrorist by Patrisse Khan-Cullors and Asha Bandele
• Exhalation by Ted Chiang
• The Autobiography of My Mother by Jamaica Kincaid
• Know My Name by Chanel Miller
• The Water Dancer by Ta-Nehisi Coates

2019

• The Deepest Well by Nadine Burke-Harris
• The Fire Next Time by James Baldwin
• Call Me By Your Name by Andre Acimon
• Invisible Women: Data Bias in a World Designed for Men by Caroline Criado Perez
• The Kindness of the Hangman by Henry Oster
• So You Want to Talk About Race by Ijeoma Oluo
• Utopia for Realists by Rutger Bregman