An Exciting Future For AI In Biotech
Meet Jasper Yao
AI Engineer @ Astratta
San Francisco, California
He thrives to work in multiple paradigms within complex systems while enjoying communication and interaction with subject matter experts across diverse and specialized fields.
Jasper wakes up every day excited to speak with highly technical and creative professionals and help them deliver research at the cutting edge. By bridging the gap between the business world and the technical,
To find more about Jasper Yao projects go to github.com/Ethycs
What inspired you to pursue a career in artificial intelligence?
It was a long and unexpected process that lead me to pursue artificial intelligence.
I was thinking about what career to pursue when I realized that AI-focused technology gave me exposure to all the questions that really interested me.
In this career, I'm able to consider 'soft' humanities questions and hard science hand in hand.
It was this relatively open field of research that I think is what has kept me here.
What is your main interest in working on Ai and Biotechnology?
My interest in working on Ai and Biotechnology comes from the impression that different areas of technology under intensive development are somewhat isolated from each other.
My hope is that I can be drawn some insight from how current advances in genetic engineering and research test and modify organisms.
As your classic neural network and a cell are to some great extent still black boxes we still do not have direct control or understanding over.
I think that biotech stands to benefit from the current state of the art techniques in Ai to spot and analyze patterns in research.
There's clearly still room to grow here, either way, you slice it.
Do you have any Ai project that you are working on and want to share your experience with us?
There's a home automation project I'm working on in my spare time that I'm pretty excited about.
Basically I'm trying to see if I can apply the model described in the following paper for my fridge, intercom, and 3d printer.
For the moment, it seems like the time for home-improvement.
How artificial intelligence can be used in space technology?
In the short term, AI has the potential to substantially reduce the workload for ground control of near-Earth satellites.
In the exciting future that may lie ahead of us, it should be able to assist human astronauts in performing their mission through improved training, increased reliability, and resiliency in space-based systems.
I cannot predict what the future has in store, but I wouldn't be surprised if AI supports a wide range of mundane activities.
In any event, it's far easier to make a self-steering satellite than a self-driving car.
Humans are better at learning new things at an average level way more quickly than robots, but robots get good at learning repetitive things at exceptional levels virtue of their outstanding computation power.
Learning a new skill requires a creative and engaged mind, it is accomplished by forming new neuron connections in our brain, a thing at which neurons in our brain are till now much better than artificial neurons. So professions that require a creative mindset, out-of-the-box thinking, and presents unexpected scenarios frequently are the matters where human expertise will still be required with low chances of being replaced by robots.
How could artificial intelligence benefit biotechnology?
I think more research scientists need to embrace modern data analysis and research techniques.
To me, this demands some component of the AI/ML framework to be used to assess vast volumes of emerging research data and raw data from instrumentation.
A great example of where this has been successful is in protein folding.