It has been a while since I’ve posted and apologize for leaving the prior subject mid-thread.   I’ve become extraordinarily busy with a new company, but will revert to research mode and follow-up once things settle down.

In the mean time, one of my long-term side interests has been biological systems.  These are interesting because are probably most complex systems we can study.   Our understanding of specific cells and interactions has grown enormously within a century, but we’re still only scratching the surface given crude measurement tools and the mind boggling complexity.   Computational biology provides a simulation based approach to studying these problems, and hence is of particular interest to me.

Some “holy grails” that have interested me:

  1. creation of artificial lifeforms to “prove” that life is nothing more than a system (done: Craig Venter’s team)
  2. mapping of neural structures into simulation
  3. creation of alternative chemistry’s / energy / replicating processes


Here is an article I just found of a researcher in the UK that is having some success with creating structures and processes based on metal salts as an alternative to carbon forms:  Life cells made of metal.   It seems like they have been able to create cell-like structures and may be close to a means of generating energy for the entity via photosynthesis.   Whether this is a fruitful or not, remains to be seen.




Filed under strategies

7 responses to “Update

  1. I’ve been following your blog for a while. I’m surprised to find that you’re interested in biological systems because I’m a biomedical engineer by training. I specialised in haptic-robotic interface for rehabilitating stroke patients. So I’m no expert at computational biology. Are you looking to do some research in that area? I’d love to get involved if you want to collaborate on some pet project.

    • tr8dr

      nice to hear from you. I don’t yet have much time for side projects, but my goal has been to spend less time on trading eventually and get involved with other sciences. I have some acquaintances that are researchers in the neural biology and have been working on simulations of individual neurons. The more we learn, the more complex it appears to be. Accurate simulation and ability to read configurations off of an organism would eventually allow us to map a complete neural system into a computer. The first steps will have to be with a primitive multicellular organism that has a nervous system.

  2. dff

    Is your new company a trading firm?

  3. Ludo

    u use SVM or bayesian network ?

    • tr8dr

      I’ve used SVM in some instances, but find it is difficult to transform data sets into linearly separable planes (basically you need to arrive at a kernel function that transforms appropriately). However if you understand how to transform the data, there may be better models one can apply.

      As for bayesian networks, I don’t explicitly use them. I do use conditional bayesian logic (as most probablistic models do).

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