Third blog post! Overall, these weeks have been much calmer than the past four. During these past two weeks, I mainly focused on getting my computer ready to access the data so I can start helping out the data science team next week.
Over these past few weeks, I have started to implement the custom loss function for our groundwater level prediction neural network. It’s been exciting to finally get started working with the code and learn more about the hydrology aspects of the project.
Welcome back to my blog post! I am going on week 5 of my internship with Carbon180. I have been learning a lot about carbon removal, policy analysis, and the professional environmental field. I have also been getting to know the Carbon180 team and my fellow interns a lot more lately.
I can’t believe it’s been a month and a half since I started this internship – time really flies by! Since the last blog post, I’ve mainly been working on converting the Monte Carlo Tree Search (MCTS) algorithm to work with molecules.
I have just finished the first two weeks of my remote internship at the ABPDU! Since it was all online, it felt very different when compared to some of the other work I have done at previous internships.
In the first two weeks of my internship, I’ve been getting familiar with my team’s hyperparameter optimization for groundwater level predictions and thinking about how I can create a physics guided neural network to improve our groundwater level predictions.