Contact Information:
Email: lkassab[at]math.ucla.edu
Mailing Address: University of California, Los Angeles
Department of Mathematics
520 Portola Plaza
Los Angeles, CA 90095
Linked In: https://www.linkedin.com/in/lara-kassab/
GitHub: https://github.com/lara-kassab
Google Scholar: https://scholar.google.com/citations?user=VqjR9I8AAAAJ&hl=en
ResearchGate: https://www.researchgate.net/profile/Lara_Kassab
Some Resources:
Email: lkassab[at]math.ucla.edu
Mailing Address: University of California, Los Angeles
Department of Mathematics
520 Portola Plaza
Los Angeles, CA 90095
Linked In: https://www.linkedin.com/in/lara-kassab/
GitHub: https://github.com/lara-kassab
Google Scholar: https://scholar.google.com/citations?user=VqjR9I8AAAAJ&hl=en
ResearchGate: https://www.researchgate.net/profile/Lara_Kassab
Some Resources:
- AWM Research Networks: https://awmadvance.org/research-networks/
- Women Who Code: https://www.womenwhocode.com/
- Out in STEM: https://www.ostem.org/
- QSIDE: https://qsideinstitute.org/
- AWM Workshops and Symposia: https://awmadvance.org/workshops-and-symposia/
- Institute for Advanced Studies (IAS) Women and Math Program: https://www.math.ias.edu/wam
- Association for Women in Science: https://www.awis.org/
- Data Science For all: Women's Summit: https://www.correlation-one.com/ds4a
- Grace Hopper Celebration Conference: https://ghc.anitab.org/
- Rising Stars in Computational & Data Sciences Workshop: https://risingstars.oden.utexas.edu/
- AMS Mathematics Calendar of workshops and conferences: https://www.ams.org/meetings/calendar/mathcal
- Women in Machine Learning and Data Science: http://wimlds.org/
- Deep Learning Weekly: https://www.deeplearningweekly.com/
- Towards Data Science: https://towardsdatascience.com/
- Medium (Machine Learning): https://medium.com/topic/machine-learning
- National Postdoctoral Association: www.nationalpostdoc.org/