Hey folks, as I’m putting the Sunday livestream together I’m realizing some information on your backgrounds would help ensure its not too boring, but also not too advanced.
Keep in mind you do not need to come in with lots of prior knowledge. We will in this book club help everyone learn to use and understand Dynamax, even if you are a 1st year student. I can do things like hold extra sessions for programming fundamentals etc. I just need to know where folks are starting from.
So with that here’s my background info. Please share yours!
Highest Degree: Masters Field of Study: Mechanical Engineering Any other education: Mostly self taught statistician Programming experience: Python, PyData Stack proficient How strong is your understanding of Bayes Theorem (1-5 scale): 4 Have you used a PPL: Yes, PyMC, Numpyro, Stan, TFP
Highest Degree : Ph.D Field of Study : Statistical Physics and Agent-based models Any other education : Theoretical physics Programming experience : Python, C++ How strong is your understanding of Bayes Theorem (1-5 scale) : 4 Have you used a PPL : No
Highest Degree : Master Field of Study : Decision-Making in Neuroscience Any other education : Economics Programming experience : Python, Julia How strong is your understanding of Bayes Theorem (1-5 scale) : 4 Have you used a PPL : PyMC3, Turing.jl
Highest Degree : PhD Field of Study : Physical Chemistry, Ultrafast Spectroscopy Any other education : Self taught data science and seem to have become fairly knowledgeable of wastewater bio-surveillance technologies from work over the pandemic Programming experience : Python (and all the data sciency packages), bit of R How strong is your understanding of Bayes Theorem (1-5 scale) : 4 Have you used a PPL : Yes, PyMC, Stan
Hi, I am Rahul, Highest Degree: Masters Field of study: InfoScience Any other education: Industrial Engineering Programming experience: Python + R (Data Science + some software engineering and API development) How strong is your understanding of Bayes Theorem: 3 Have you used a PPL: limited use of RStan
Highest Degree : Masters Field of study : Finance, Information Systems Any other education : Mathematics, Computer Science, Self taught programming, data engineering, data science Programming experience : Python, Golang, Clojure (Data Science, Data Engineering) How strong is your understanding of Bayes Theorem : 4 Have you used a PPL : Getting better with PyMC
Highest Degree : Bachelor Field of study : Business&Engineering Any other education : Exploring all things (high temperature) related to Statistics&ML Programming experience : Python + R How strong is your understanding of Bayes Theorem : 3 Have you used a PPL : PyMC and Stan
Highest Degree : (writing up) PhD Field of study : Biostatistics Any other education : Theoretical physics Programming experience : python, R, some Julia How strong is your understanding of Bayes Theorem : 4 Have you used a PPL : I’ve used most of them at some point, but I’m most familiar with numpyro and nimble (strong recc to try nimble if you are an R user)
Highest Degree : Masters Field of Study : Informatics Engineering Any other education : Machine Learning Programming experience : Python, Java How strong is your understanding of Bayes Theorem (1-5 scale) : 2,5 Have you used a PPL : No
Highest Degree: Masters Field of Study: Mathematics Any other education: currently doing my PhD in mathematical statistics (on some particular SSMs :)) Programming experience: R, Python How strong is your understanding of Bayes Theorem (1-5 scale): 3-4 Have you used a PPL: No
Highest Degree: PhD Field of Study: Physics (research in particle physics) Any other education: Mostly self-taught stats. Completed McElreath, not yet through BDA. Programming experience: Python (PyData), Julia, some R (when needed for work), C++ (that I haven’t touched in a few years) How strong is your understanding of Bayes Theorem (1-5 scale): 3 Have you used a PPL: Yes. Good amount of PyMC. Some Turing.jl, tiny bit of Stan, even tinier bit of numpyro.
Highest Degree : Masters Field of Study : Computer Science Any other education : No Programming experience : Python, R How strong is your understanding of Bayes Theorem (1-5 scale) : 2 Have you used a PPL : PyStan, PyMC
Highest Degree : PhD (pursuing) Field of Study : Computer Science Any other education : No Programming experience : Python How strong is your understanding of Bayes Theorem (1-5 scale) : 4 Have you used a PPL : Stan, PyMC
Highest Degree : Degree Field of Study : Actuarial Science Any other education : Self taught computer science Programming experience : Python, SAS How strong is your understanding of Bayes Theorem (1-5 scale) : 4 Have you used a PPL : PyMC
Highest Degree : Bachelor Field of Study : Mathematics and computer science Any other education : Physiotherapy Programming experience : Python, R, (Java) How strong is your understanding of Bayes Theorem (1-5 scale) : 3 Have you used a PPL : No
Highest Degree : Bachelor Field of Study : Finance Programming experience : Python How strong is your understanding of Bayes Theorem (1-5 scale) : 3 Have you used a PPL : No
Highest Degree: PhD Field of Study: Nanotechnology Any other education: Mostly self taught statistician Programming experience: Python and Rust How strong is your understanding of Bayes Theorem (1-5 scale): 2 Have you used a PPL: PyMC
Hi everyone, I used to work on space systems too but from the ‘customer’ side as a USAF officer .
Highest Degree : Masters Field of Study : Business + DS, emphasis on financial forecasting Any other education : BS Mech Eng, MBA, MS Analytics but self studying Bayes + causal inf so this is perfect Programming experience : Python and Julia How strong is your understanding of Bayes Theorem (1-5 scale) : 2 Have you used a PPL : PyMC, Turing
Back in 2006-2009 I worked on military satellite comms (MILSATCOM) down in Los Angeles - got to work with Boeing/ULA on the integration & test of the first 3 in the Wideband Gapfiller (WGS) constellation as a systems engineer/program manager and got lucky enough to help launch all 3 out at the Cape!
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