TL ; DR - Hacking an Aprilaire steam humidifier into doing time-of-use electricity pricing TL ; DR #2 - A smart thermostat is just a handful of relays, a sensor, and a radio chip. Utah air is very dry, so we have an Aprilaire Model 800 steam humidifier paired with the Aprilaire Model 62 …
TL ; DR - How to implement a cycling speed+cadence+power meter over Bluetooth LE , and some other small software tricks on the PeloMon. Fourth in a series. See the project GitHub , to be updated through the series. Part I: Decoding the Peloton Part Ib: How does the Peloton compute speed …
TL ; DR - Hardware selection (microcontroller, power delivery, signaling) and board layouts for the PeloMon. Fourth in a series. See the project GitHub , to be updated through the series. Part I: Decoding the Peloton Part Ib: How does the Peloton compute speed? Part II : Emulating the Peloton Part III : PeloMon Hardware …
TL ; DR - How long it takes the Bike to respond to its head unit, building event-driven and hardware timing-accurate emulators of the Peloton Bike to assist in development, and a Peloton decoder library in C. Third in a series. See the project GitHub , to be updated through the series. Part …
TL ; DR - Speed on the Peloton Bike is a pure function of power and can be accurately regressed with a two-piece polynomial fit. Code is available at the project GitHub repo. Second in a series. See the project GitHub , to be updated through the series. Part I: Decoding the Peloton …
TL ; DR - I ve decoded (most of) the protocol that the Peloton bike uses to communicate with its head unit tablet and built a device, the PeloMon, that takes that data during a ride, without interfering with the Peloton software, to broadcast it over Bluetooth LE to whatever devices you …
I recently spoke at Recursion Pharmaceuticals Career Insights Series on career development and trajectory in industry (and how it differs from the same in academia, for those coming from PhDs and postdocs). If you d like to watch along with the post (or instead of the post), you can view …
The following was submitted to the Journal of Medicinal Chemistry as a mini-perspective for their special issue on AI in drug discovery. I leave it to the reader to judge whether they were right to reject it forthwith. The breadth of the field of artificial intelligence ( AI ) in drug discovery …
The shocking conclusion to a series on advances in early detection liquid biopsy from 2019H1: Part I: Tumor fraction still matters Part II : Technical advances from Grail and Guardant Part III : Clinical Performance and Economics In the previous installments of this series, I ve briefly reviewed some of the key …
Many thanks to Lisa Suennen and David Shaywitz for having me on Tech Tonics recently! My interview with them came out today. Listen to it on Connected Social Media or through your podcast app. In it, I discuss with Lisa and David my work in computational biology, genetics, and the …
Part of a series on advances in early detection liquid biopsy from 2019H1: Part I: Tumor fraction still matters Part II : Technical advances from Grail and Guardant With the data I reviewed in the first post in the series it seems fair to say that everyone s now agreed that …
The first half of the year is always exciting in the cancer world between results presented at AACR in April and ASCO in June, making it a good time to review the state of early detection science in mid-2019. This is long, so I ll break it up into a …
(See the slides here) In the final section of my recent keynote address for Cancer Research UK s 2019 Symposium on Oesophageal Cancer , I departed from my usual rants on technical rigor in science to discuss the political barriers that keep us from effectively translating and scaling new diagnostics in …
It s not always easy to figure out the relative importance of our various preferences. For example, when trying to find a place to move, do you care more about price, walkability, parking, proximity to work, safety, ? Or when trying to find a job, is it about salary, equity, the …
(See the slides here) I was recently invited by OpenEye Scientific to speak at their 19th CUP meeting - a scientific conference focused on challenges of computational modeling in drug discovery. It was my first time back at CUP in 8 years, since I switched fields from computational chemistry into computational …
Drug discovery is a hard business, and like any other hard business, there are a lot of people who d not only like to improve it, but think they have a clever idea to completely change how it s done and catapult us into a new world of productivity. It …
I saw a billboard for a Very Well Known cancer drug on US101 today and realized that ASCO s Gastrointestinal Cancers Symposium (aka ASCO GI ) was in town. Although I m not currently working on CRC screening, it s an interesting enough area for me to have spent a couple …
While writing my post about ASCO GI 2019 (in particular, the section on CellMax s new abstract), I realized that to tell the story properly, I had to analyze last year s CellMax data. That turned into enough content that I thought it would be best to split it into …
Machine learning and computational modeling remain some of the hottest topics in both the academic and industrial biology and healthcare communities. Here I ll take a closer look at some problems with how we conceive of the use of AI and machine learning in biology, and how shifting our mode …
Welcome! After many years of confining myself to papers, company posts, and the occasional Twitter rant, I ve decided to set up my own blog. What can you expect? Commentary from my core expertise: computational biology, machine learning, genomics, diagnostics, therapeutics, and biotechnology. Tidbits that I find interesting: new papers …