Tell me about yourself and why you are interested in this role?
- *Present:** Director, Enterprise DnA
- *Past:** Merck 4 years, USMC before that
- *Future:** Now that I recently finished up my masters of data science, I am looking to get closer to data science and cutting edge tech (ideally in a mature start-up). I’m really passionate about using data science and tech to solve important problems. Can’t think of a bigger problem to solve than healthcare. Government HAS to fix this.
Key stories to pull from
1) Fortify DA
2) Crisis Mgmt
3) HIV
Define AI
Machines and technology that is able to replicate the intelligence of humans.
Examples of AI/ML
- Marion
- Supply chain
- Early detection of cancer
Types of machine learning
- Supervised learning
- Unsupervised learning
- Reinforcement learning
Strong vs. Weak AI
Weak AI - narrow, most use cases
Strong AI - Imitate human intelligence
Explain neural networks
Replicates now the brain works
Input layer: Info comes in to an input layer
Hidden layer: n # of hidden layers, that make computations to make sense of pieces of info
Output layer: main outcome
Types of neural networks
Convolutional Neural Network: Input taken in as batch (mainly used for images)
Recurrent Neural Network: sequential, input 1 + 2 + 3
Greatest professional achievement
Merck: CM Program
USMC: Iraq
Challenge or conflict
US and Prague team
Team contract, psychological safety
Mistake
Prod Owner decision for ADA
Talk about how I learned from this for Design Lead role
What are you looking for in a role:
- Impact
- Closer to cutting edge tech and data science
- Strong leadership
Leadership style
Servant leader – if you take care of your Marines, they will take care of you
Active listener and continuous learner
Principle-based decision making – making the right call, not what people want to hear
Where do you see yourself in 5 years?
Seen as a thought leader in the data science and healthcare space – in a position where I am shaping the future of the industry
Leading teams within a tech or health tech company
30 - 60 - 90
30: Listen, listen, listen
60: Develop priorities
90: Execution
