Yesterday we took a look back at the past decade. I’m not a fan of looking back, it’s not how I’ve survived this long, it’s not something I’m particularly comfortable with, and even though it wasn’t a bad thing to do, I would rather look forward and talk about the things that will be happening (hopefully) this year. Let’s ring in the new year with the to-do list for this year!
Well today is thanksgiving, not a holiday I celebrate, but I’m happy to have the day off at least. I’ll be taking the day to get some work done and relax some. Deadlines are coming so I can’t take the whole day to myself, but at least it’s a low stress day.
Until next time, don’t stop learning!
Wow, time flies, we’re already on day 100. Still not half way done, but it certainly doesn’t feel like 100 days of writing. Today has been a busy day, which is why I’m writing so late. With the end of the term comes other projects that need to be addressed, namely my qualifying exam, final exams, and other lab members having their Ph.D defense. Yep, we have not one, not two, but three people defending their Ph.D this term.
I’ve got news! In my last post on the subject I said that I wasn’t expecting a response from the lab I was requesting data from until Monday, if at all. Well would you believe I got a response! It wasn’t a “here’s the data response,” but it is progress. Let me explain why.
Well it finally happened. My laptop looks pretty dead. Right now I have it in pieces while I try to figure out what went wrong with it. Thankfully I have a desktop computer that I use for all my heavy computing as a back up. Just one more expense I guess, I should be grateful that it wasn’t something more serious like the hard drive going out.
So short post, I know, but I have to get this fixed or find some sort of resolution since my laptop is an important part of how I get work done. I’ll have a longer post tomorrow, but for now I think that is it.
Until next time, don’t stop learning!
Today should be an interesting day for me. I plan to do a deep dive into the world of neural networks to better understand how they work and the best type to apply to my data. There are a few, quite a few in fact that I could use and really it depends on how I want to frame my problem, so let’s look at what I’ve got planned.
I have some data. This shouldn’t be news, I’ve been talking about how I’m trying to train a model to predict an output using this data and all the woes that have come from the training process. Turns out I have a problem, well more like questions that need answers and for that I need help.
So far things have been non-stop and today is no exception. I have a lot of housework to do and balancing that work with my school work (all while still trying to find time to relax some) is difficult. Nevertheless today is housework day (mostly).
Ugh!! After over six weeks my paper was rejected becuase it didn’t fall in line with what the editor wanted. This is frustrating because each journal has different formatting requirements and you cannot submit to multiple journals at once so we need to sit and wait.
As you may be aware, I am planning an experiment! Cue upbeat music Unfortunately record scratch I’m nowhere near ready. It’s been a process for sure and we are (maybe?) back on track to get started soon. Today I had a meeting scheduled with my PI to discuss the details, but…
For those of you following along, I’ve been trying to crack a predictive model using some novel (read: super secret PhD work) neural data. It’s been a journey and I’ve trained and tested about a dozen or so models, with varying success. Things have been flying pretty smooth the past few weeks as I try to create the best model I could possibly create. Unfortunately, technology had other plans for me.
I have a lot of memorization to do these days. Things that are important , steps to set things up, new biology, new techniques, new, new, new… well you get the point. Memorization is the bain of my existence. It’s not even a matter of not wanting to memorize something, it’s just old war wounds, no really.
Today I get to play catch up. I’m running on not a lot of sleep, but there is so much to be done it isn’t funny. Ironically enough, it’s not all school either. I have life things catching up with me, car repairs that I need to do, house things, you know the usual day to day things that pile up despite our best efforts.
I’ve talked about my impending deadlines a lot lately. I also mentioned that I had an experiment that I needed to do to meet a deadline, well it looks like we may or may not meet this goal. Let’s talk about the latest headaches.
Well it’s been an interesting experience. I’ve been working hard to train a binary classifier to predict the two classes in my data. There has been a lot of ups and downs and more importantly, there has been some progress. It isn’t perfect, but it’s a start, so let’s look at what I’ve got so far and where I’m headed.
Well it happened, the date for my qualifying exam has been set. I’m nervous, I’m excited, I’m mostly just anxious to get it done. Quite frankly I’m exhausted, so it will be nice to get one thing off my to-do list. Let’s look at how I need to get ready.
I don’t normally leave my computer on 24 hours a day, but it has been hard a work, so it hasn’t been off in days. Training a model can take some time, as I am finding out and while I’ve made progress on the resulting model, it’s still not where I want it. Let’s talk about what has been going on.
I’ll let you in on a secret, I’ve been doing science outreach on a regular basis for the past 3-4 years now. Specifically with Skype a scientist I’ve volunteered every term since it was pretty much first started. My secret, if not horribly kept, is this… I am ALWAYS nervous to give my talk. That doesn’t mean it isn’t worth it and let me explain why.
There I was patiently waiting for my data to finish being processed, an hour, two, time kept moving as did the little animation letting me know that the algorithm was still doing its thing. Then it was done, I had a new, more complete model and it was glorious… until it wasn’t.
Quantum theory is one of the great achievements of 20th century science, yet physicists have struggled to find a clear boundary between our everyday world and what Albert Einstein called the “spooky” features of the quantum world, including cats that could be both alive and dead, and photons that can communicate with each other across space instantaneously.