lake-effect

I've done two technical interviews this summer. The first one was shakey, the second went really well, but ultimately both places moved on with another candidate. It's definitely a skill and learning to not get so nervous about them helps a ton. I went from grad school physics to my first data science job and I'm trying to further transition into ML engineer type roles. My biggest insecurity is not knowing the comp sci 101 basics, since my programming was self taught along the way (learning what I had to learn for my thesis research simulations and then whatever else I learned in my first 2.5 years as a data scientist). I long for the day that I have enough experience under my belt that I'm a ML unicorn and companies view me as highly desirable, but I probably got many more years of grinding til I reach that point.

Pharmacy (i.e. the cost of drugs) is a big contributor to rising healthcare costs and injectables are an increasingly more popular and very expensive way to deliver drugs. This is a good example of how R&D and drug development works in the US. Invest time and energy in a much more profitable form of treatment for a disease that is already managed.

“Electrical devices can sometimes offer higher than 100% efficiency,” said BNEF analyst Matthias Kimmel. That might seem odd. How can there be more energy as output than input? But that’s exactly what heat pumps and air conditioners do. They use electricity to shift heat from the outside to inside, or vice-versa, and typically provide three units of energy service for one unit of energy input, meaning an efficiency of 300%."

Article seems to arguing against basic thermodynamic laws. Air conditioners and heat pumps do not output more energy than they consume. You can't move heat around without expending lots of energy. I'm suspicious this is just uptalk trying convince people renewables can replace fossil fuels without any new data, just confusing lines of arguments.