Show Notes:

• (1:58) Colleen gave a brief overview of her professional background and her path to data science.
• (3:27) Colleen explained how her background in medicine and social science contributes to her success as a data scientist working in different domains.
• (5:20) Colleen share her thoughts on how data science varies by sector.
• (7:02) Referring to her consulting company Staticlysm LLC, Colleen discussed a current medical technology project that she is working on.
• (8:19) Colleen shared applications of quantum machine learning in the wild, referring to her work at Quantopo - where she is the cofounder and chief mathematician.
• (12:33) Colleen discussed a new project leveraging quantum and quantum-inspired algorithms for nuclear reactor optimization at Quantopo.
• (15:17) Colleen gave advice for data scientists who want to start a business and get into consulting.
• (16:58) Colleen discussed topological data analysis in machine learning.
• (23:02) Colleen discussed epidemic modeling and engaging foreign aid organizations, given her experience with the Ebola outbreak.
• (26:01) Colleen discussed the different approaches to model the spread of diseases in epidemics, which follow a differential equation framework.
• (30:22) Colleen explained why buy-in and corporation from those in power are critical to combat epidemics.
• (32:20) Colleen explained the difference between the current Coronavirus pandemic and the previous Ebola epidemic (note that this conversation is recorded in mid-March 2020, so information about COVID19 may have dated).
• (37:06) Colleen shared resources to get up-skilled in data science.
• (39:40) Colleen talked about the benefits of writing on Quora, where she has written more than 13,000 answers.
• (41:31) Colleen shared the traits of an excellent technical communicator and/or data translator.
• (43:26) Colleen shared her process of writing a technical book that focuses on the use-cases of topology, geometry, and graph theory in machine learning and data science.
• (50:32) Colleen talked about the growth of the data science community in Miami.
• (54:30) Colleen discussed her involvement in data science within the African sectors.
• (57:55) Colleen shared her thoughts on how the data science field will evolve in the next few years: the access to big data platforms, the dominance of Python, and the rise of quantum computing.
• (01:01:12) Closing segment.

Her Contact Info:

• LinkedIn
• Quora
• ResearchGate
• KDNuggets

Her Recommended Resources: 

• IBM Quantum Computing
• Xanadu (Quantum Computing Hardware)
• D-Wave Systems (Quantum Computing Hardware)
• Ayasdi (Topological Data Analysis-Focused Startup)
• The SIR Model for Spread of Disease
• Google Scholar
• arXiv
• LinkedIn Learning
• Coursera
• Genetic Algorithms and Adaptation paper by John Holland
• Random Forests paper by Leo Breiman
• Andrew Ng (Founder of Coursera, DeepLearning.AI, and Landing.AI)
• Dover Series on Mathematics

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