New Ideas

This past week, I continued my original work and wrote interview questions for my computational chemistry interview on Wednesday. I still feel very unfamiliar with the concepts and frameworks used in the field, which seems to have a fairly high skill floor, since a lot of problems begin with solving or minimizing a differential equation. However, I’m making progress, and I’m seeking another interview with professionals who directly use machine learning algorithms to solve computational chemistry problems. At this point, I’m feeling far more confident about using DeepChem, the molecular machine learning library, to model properties like solubility compared to when I started. Because of this, I’m thinking of ways to expand on my original work idea, potentially by making the concept accessible to more people in an interactive fashion. Meanwhile, I’m continuing work on my research speech. I wish I had begun making progress earlier, but it’s not as hard as it originally seemed because I’m already familiar with my research—I just have to present it in a way that makes sense and isn’t boring. This week, I plan on extending my original work, and I’m looking forward to conducting my third interview with someone whose work relates the most closely with my topic so far.