01 - What were you like as a kid
02 - How did your parents influence you
03 - How did you navigate college
04 - What are some fond memories from grad school
05 - How can you foster learning for everyone
06 - Whats the importance of learning liberal arts
07 - What advice do you have for job seekers
08 - How did data science come about
09 - What does it take to be a data scientist
10 - Why is apprenticeship important
11 - How can a data scientist influence policy
12 - How can you prepare for data science in college
13 - How can hackathons benefit me
14 - How did you use data in grad school
15 - How is data used in the U.S.
16 - How is data used worldwide
17 - How do you expose holes in cybersecurity
18 - How can you educate people about hacking
19 - What are the real threats to personal data
20 - Should you focus on media headlines
21 - How can you educate people about data use
22 - How can people fight for data privacy
23 - Whats the role of the data scientist in 15 years
24 - What are you working on currently
25 - How can you make data secure
26 - How to serve the people with data science
27 - Whats the difference between wisdom and experience
28 - How do you advocate for science
29 - What is the role of AI in todays world
30 - Whats an example of ethical hacking
31 - How do you bring data science into the workplace
32 - What is the role of AI in human resources and recruiting
33 - What are tools every data scientist should own
34 - Is there a data science code of ethics
35 - What are AI threats in the cybersecurity world
36 - How can data scientists better inform the general public
37 - How can people participate in data science
38 - Why do people fear a machine revolution
39 - How can data inform healthcare
40 - Why should you democratize data
41 - How are you advocating for science
42 - Why is the March for Science important
43 - What is AI
44 - What is an example of robust machine learning
45 - What is AIs place in healthcare
46 - How can AI impact clinical trials
47 - How can a data scientist be best leveraged for business
48 - What does a data science team need to thrive
49 - What are the pros and cons of AI in HR roles
50 - What should be in a data scientists toolbox
51 - What makes up a good data science team
52 - What new projects are you working on
53 - What data science projects are you working on
54 - How can AI and machine learning (ML) help cybersecurity
55 - How can governments fight back against AI attacks
56 - What can the public do to protect against AI attacks
57 - What are neural networks (NN)
58 - Whats the difference between ML and NN
59 - Do you have a favorite machine learning technique
60 - How does the Internet of Things work
61 - What is a connected city
62 - What is the fear associated with data
63 - How can you address the fear of machines taking jobs
64 - What about job loss due to AI
65 - Whats the reality of bringing back jobs
66 - What is a scientific process for data science
67 - What is your tip for not getting overwhelmed by big data
68 - How do you accept that youre not going to know stuff
69 - What is a dynamic range
70 - When does data leave holes
71 - How important is diversity on a data science team
72 - How does data influence peoples emotions
73 - How do you train yourself to be intellectually curious
74 - How do you empower people to foster dialogue
75 - What is your philosophy on leadership
76 - How can a company retain employees
77 - How do you cultivate employee development
78 - How do you identify algorithmic biases
79 - Can you describe the process of ethical testing
80 - How do you feel about machine learning for business decisions
81 - Can you talk about your book
82 - What are possible solutions for displacement
83 - What impact does technology have on the U.S. economy
84 - Can you discuss the future of intelligent things
85 - What are the current issues with data collection
86 - How is technology changing human expectations
