On this episode, we are joined by Stephen Larson, the CEO of MetaCell and an affiliate of the OpenWorm foundation. Stephen discussed what the Openworm project is about. They hope to use a digital C. elegans nematode (C. elegans for short) to study the basics of life.
Stephen discussed why C. elegans is an ideal organism for studying life in the lab. He also discussed the steps involved in simulating a digital organism. He mentioned the constraints on the cellular scale that informed their development of a digital C. elegans.
Stephen discussed the validation process of the simulation. He discussed how they discovered the best parameters to capture the behavior of natural C. elegans. He also discussed how biologists embraced the project.
Stephen discussed the computational requirements for improving the simulation parameters of the model and the kind of data they require to scale up. Stephen discussed some findings that the machine-learning communities can take away from the project. He also mentioned how students can get involved in the Openworm project. Rounding up, he shared future plans for the project.
Change Point Detection Algorithms
Time Series for Good
Long Term Time Series Forecasting
Fast and Frugal Time Series Forecasting
Causal Inference in Educational Systems
Boosted Embeddings for Time Series
Change Point Detection in Continuous Integration Systems
Applying k-Nearest Neighbors to Time Series
Ultra Long Time Series
MiniRocket
ARiMA is not Sufficient
Comp Engine
Detecting Ransomware
GANs in Finance
Predicting Urban Land Use
Opportunities for Skillful Weather Prediction
Predicting Stock Prices
N-Beats
Translation Automation
Time Series at the Beach
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