Machine learning literacy

I care deeply about machine learning (ML) and artificial intelligence (AI) literacy, and I’m passionate about empowering students, professionals, educators, and researchers from diverse fields to gain the ML skills they need to succeed in their work. Below are some of the resources I’ve developed over the years to support this goal.

Open educational resources

Workshop materials

Relevant talks



Mental well-being

In our Master of Data Science (MDS) program, students complete 24 short, intensive courses over just eight months. They enter the program with modest prerequisites, a background in programming, statistics and probability, and either calculus or linear algebra. By the end, they’re equipped to build reproducible data science pipelines to tackle real-world, complex problems. You can explore some of their work here.

This transformation is incredible and makes us very proud, but it also speaks to how intense and demanding the program can be, both for students and instructors. Everyone brings their own personal and professional challenges, and it’s essential that we all have tools in our toolbox to navigate them with resilience and self-awareness. And that requires a healthy mind.

With that in mind, I launched an initiative within the MDS community to cultivate a more supportive, grounded, and compassionate environment—one that fosters not just effective learning, but also personal growth and well-being. For over a year now, I’ve been leading optional weekly meditation sessions, open to all MDS students and faculty. These practices are woven into our daily routines, helping make mindfulness a regular part of our lives.

My hope is that this initiative will help foster a culture of mindfulness and mental well-being throughout the university—starting with our own community. Ultimately, I envision an academic environment that nurtures not only intellectual development, but also emotional health and human flourishing.

Check these out