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

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

(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