Study Plan

I help ML engineers, researchers, students, and people transitioning into AI/ML build structured, personalized learning plans aligned with their technical interests and career goals, particularly in areas related to AI for biology.

In this session, we'll start by understanding your current background, technical strengths, and what you're hoping to achieve. Whether you're looking to strengthen your machine learning fundamentals, develop research skills, explore a new area of AI, or transition into fields like computational biology, genomics, protein modeling, or drug discovery, we'll work together to identify the most important things you need to learn.

We'll then break down your goals into a realistic learning roadmap, prioritizing the concepts, technical skills, research papers, and practical projects that are most relevant to your objectives. We'll also consider what you already know so you don't spend time unnecessarily reviewing familiar material, and where you may need to develop deeper expertise before moving on to more advanced topics.

I particularly like to emphasize learning through practical work and research. Depending on your goals, we can discuss which papers are worth studying, what kinds of projects would help reinforce your understanding, and how to progressively build the skills needed to work independently in your chosen area.

By the end of the session, the goal is to have a clear set of learning priorities, a realistic timeline, and concrete next steps that you can follow independently or continue developing through ongoing mentorship.