It’s hard to believe there’s only one week left in my internship. Week 5 was all about tying threads together, both in the work I’ve been doing and in what I’ve learned so far.
This week, I focused on finishing up bits of my code and comparing it with my mentor to workshop how we approached it differently and which parts are more efficient. It felt like a shift from learning new skills to applying them with purpose. Recently, it feels like I wasn’t just doing the work, I was learning how to communicate it and evaluating what questions remain.
I also started preparing for my final presentation, which has been a great chance to reflect on just how much I’ve learned. Things that felt intimidating at the start, like explaining my code or interpreting nuclear morphological features, now feel more like second nature. I’m still learning, but I’m more confident in my voice and perspective.
One of the most meaningful moments this week was being able to run calculations as my mentor applied them quickly and efficiently to treating and examining our cells. We seeded our treated tamoxifen cells into smaller wells, which required a process of determining how many live cells existed per milliliter and then calculating how to get the desired amount of confluence for the wells. It’s sad to think I only have 5 days left in the lab . The lab team has been so welcoming and generous, and has really supported me as I’ve grown. We even went out for a team lunch this week.
As I head into the final week, I want to make the most of the time I have left, polishing up my project, asking final questions, and just soaking in the experience. I’m proud of what I’ve contributed, but even more grateful for everything I’ve been able to learn along the way. Next week I’m being given the opportunity to visit the Ting Wu lab at Harvard, where two of my peers are studying. I’m so grateful our professors were able to coordinate the meeting and that the pinheads’ mentor, Meira, is willing to accommodate. I’m so excited for my last week, but also sad it’s coming to an end.
(graphical neural network)


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