Hi, I'm Andrew Ganse. I'm an applied physicist and data scientist, lately building out machine learning and data analysis systems for physical sensor data at Seattle area startup businesses. Whether in the commercial world or in the academic science world, the focus of my work has been in machine learning, inverse problems, optimization, signal processing, and data analysis. (My PhD as well as much of my work at APL-UW concerned inverse problems in geophysics). Here on research.ganse.org are some of my publicly shareable research results and tools, both in data science topics and in applied physics topics. You can contact me at firstname.lastname@example.org.
GETTING MLFLOW+DATABASE RUNNING QUICKLY VIA DOCKER
This provides a get-running-quickly Docker-compose setup using containers for MLflow, PostgreSQL, and NGINX. Run MLflow's database in PostgreSQL, and put an NGINX reverse proxy in front of the MLflow website to allow some level of access restriction (say for a workgroup within an already-firewalled company intranet).
DBSCAN CLUSTERING IN DECRYPTING AN IMAGE CYPHER
This wonderful kids' book series is fun not only for the stories themselves, but also because each of the first several books involves a cipher puzzle with "fairy hieroglyphics" - I love code puzzles! Originally in the first book the hieroglyphics were long and drawn out, sequenced across the bottoms of all the pages. But then I read my son the next book in the series in electronic form, where I discovered the hieroglyphic sequence was moved to the back of the book, all perfectly lined up in matrices over a few pages at the end. And I thought, hey that seems like it'd be easy to parse and decrypt on a computer, just like the main character did.
ELECTROMAGNETIC INVERSION OF ESTUARINE SALINITY STRUCTURE USING SMALL-SCALE CSEM
The Conductivity Profiler is an instrument for remotely observing estuarine salinity profiles via electromagnetic measurements. Electromagnetic (EM) waves are attenuated in seawater as a function of frequency, and conductivity structure (closely related to salinity structure) in the water can be inferred by combining measurements of EM waves at different frequencies on a distant electric field receiver. Geophysical inversion methods are applied to estimate the estuarine salinity profile from the EM measurements. Using inverse theory techniques, we take advantage of statistical rigor and let the data determine the structure of the conductivity profile and quantify the uncertainty and resolution of the salinity profile.
PREDICTING BANK LOAN BEHAVIOR WITH RANDOM FOREST MODELS
Let's implement a random forest classifier from Scikit-Learn to see how well we can predict whether a bank client will have good loan behavior (meaning they won't default or become delinquent) if they are given a new loan. We'll use a public bank transactions/loans dataset from the PKDD99 Challenge conference for the modeling. In the process we'll fit and explore the assumptions made for this model, and learn about some limitations of Scikit-Learn's tree-based models.
INTERACTIVE GPS DATA VISUALIZATIONS IN PYTHON/JUPYTER
Did you know you can plot your geographic data on interactive maps embedded directly in your Python notebooks? Check it out, as we play with and analyze some GPS tracking data. A database of tracked walking routes data available on a health/fitness website provides a convenient trove of data not only to play with, but also to explore the geometric interference effects of downtown buildings upon GPS track solutions.
RADIO SCIENCE GRAVITY INVERSION FOR ICY MOON INTERNAL STRUCTURE
2O/rock interface (seamounts).