Career/Advice Session Tables
Table 1: Machine Learning @Yahoo
Miriam Redi, Yahoo
Table 2: Navigating your Career in Machine Learning: Machine Learning @Amazon
Anne Szeto, Amazon
Table 3: Machine Learning @National Laboratory
Bobbie-Jo Webb-Robertson, Pacific Northwest National Laboratory
Lisa Brammer, Pacific Northwest National Laboratory
Table 4: Translating Machine Learning into Impact: Reaching 100 million people
Eloise Duvillier, Baidu
Table 5: Machine Learning in Finance
Dave Tolliver, The Voleon Group
Table 6: Machine Learning @Facebook
Anitha Kannan, Facebook (AI Research)
Table 7: Finding the Right Job (Industry, Academia, and beyond): Machine Learning @Google
Jen Hsin, Google
Table 8: Machine Learning @Microsoft
Dilek Hakkani-Tür, Microsoft Research
Table 9: How to Graduate
Finale Doshi-Velez, Harvard
Table 10: Joining Startups
Julia Evans, Stripe
Ann Irvine, RedOwl Analytics
Table 11: Networking
Been Kim, MIT
Elizabeth Baseman, Los Alamos National Laboratory
Table 12: Building Your Professional Brand
Deepti Pachauri, Advance Technology Group, 3M
Ekaterina (Katya) Gonina, Twitter
Table 13: Establishing Collaborations
Hanna Wallach, Microsoft Research
Jennifer Wortman Vaughan, Microsoft Research
Table 14: Life with Kids
Raia Hadsell, Google DeepMind
Joelle Pineau, McGill
Table 15: Job Search
Vidhya Murali, Spotify USA Inc
Kamalika Chaudhuri, UC San Diego
Table 16: Keeping Up with Academia While in Industry
Hala Mostafa, Living Analytics Research Center
Claudiane Ouellet-Plamondon, École de Technologie Supérieure
Table 17: Long-term Career Planning
Lizi Ottens, Apple
Bhavani B, Akamai Technologies, PES Institute of Technology, Bangalore, India
Table 18: Self-Advocacy
Allison Gray, NVIDIA
Julie Bernauer, NVIDIA
Table 19: Work/Life Balance
Catherine Huang, Intel
Amy Greenwald, Brown University
Miriam Redi, Yahoo
Table 2: Navigating your Career in Machine Learning: Machine Learning @Amazon
Anne Szeto, Amazon
Table 3: Machine Learning @National Laboratory
Bobbie-Jo Webb-Robertson, Pacific Northwest National Laboratory
Lisa Brammer, Pacific Northwest National Laboratory
Table 4: Translating Machine Learning into Impact: Reaching 100 million people
Eloise Duvillier, Baidu
Table 5: Machine Learning in Finance
Dave Tolliver, The Voleon Group
Table 6: Machine Learning @Facebook
Anitha Kannan, Facebook (AI Research)
Table 7: Finding the Right Job (Industry, Academia, and beyond): Machine Learning @Google
Jen Hsin, Google
Table 8: Machine Learning @Microsoft
Dilek Hakkani-Tür, Microsoft Research
Table 9: How to Graduate
Finale Doshi-Velez, Harvard
Table 10: Joining Startups
Julia Evans, Stripe
Ann Irvine, RedOwl Analytics
Table 11: Networking
Been Kim, MIT
Elizabeth Baseman, Los Alamos National Laboratory
Table 12: Building Your Professional Brand
Deepti Pachauri, Advance Technology Group, 3M
Ekaterina (Katya) Gonina, Twitter
Table 13: Establishing Collaborations
Hanna Wallach, Microsoft Research
Jennifer Wortman Vaughan, Microsoft Research
Table 14: Life with Kids
Raia Hadsell, Google DeepMind
Joelle Pineau, McGill
Table 15: Job Search
Vidhya Murali, Spotify USA Inc
Kamalika Chaudhuri, UC San Diego
Table 16: Keeping Up with Academia While in Industry
Hala Mostafa, Living Analytics Research Center
Claudiane Ouellet-Plamondon, École de Technologie Supérieure
Table 17: Long-term Career Planning
Lizi Ottens, Apple
Bhavani B, Akamai Technologies, PES Institute of Technology, Bangalore, India
Table 18: Self-Advocacy
Allison Gray, NVIDIA
Julie Bernauer, NVIDIA
Table 19: Work/Life Balance
Catherine Huang, Intel
Amy Greenwald, Brown University