Talks

  • Keeping Up With Web Performance (2022)

    performance.now() conf, Amsterdam, ML


    The world of web performance is exciting and always changing, but have you ever felt like you’re always falling behind?

    It can feel overwhelming but by embracing continuous learning we can transform keeping up with the latest in web performance from a daunting task into an exciting journey full of opportunity.

    In this talk, we’ll review multiple strategies for how to build a learning practice for yourself as well as how to foster a culture of learning in your community or organization in a way that’s fun and engaging.

  • Is the Site Fast Yet? (2019)

    View Source Conf, Amsterdam, NL

    As the owners of web performance, my team is often asked some version of the question “Is the site fast yet?”. While it sounds simple, it's actually impossible to answer without asking more questions. “Is our site fast in New York but slow in Sydney? Is it fast on all devices or just on desktop? How fast is fast enough and most importantly, what does fast even mean?”. In this talk, I’ll share what we've learned while finding an answer to this question, including how to conduct a performance audit, how to talk about performance with your teammates outside of engineering, and how to advocate for your users by making performance a priority.

  • I'm Not Perfect (And I Know I Never Will Be) (2019)

    Abstractions ||, Pittsburgh, PA

    When I transitioned into a tech lead role for the first time, I was terrified of the fact that I was expected to not be perfect from the beginning. Instead of trying to prevent the inevitable mistakes I would make, I had to change my perspective to focus on what I could control. In this talk, I’ll share concrete examples of how I lowered my anxiety around messing up in my new role and turned my blunders into learning opportunities.

  • Experimentation from Science to Software (2018)

    Tech Intersections, Oakland, 2018

    Working in technology, we have a collection of tools we can use to decide how to improve the products that we’re building. One of these powerful tools is controlled experimentation through A/B testing which can help us make decisions towards making a better tech product. Comparing my background in scientific research with my current work as a software engineer, I’ll explore how experimental thinking can help us build better software.

    Through the lens of the scientific method I’ll cover:

    * How to use data-driven decision making to your advantage

    * What you can learn from experimentation through success and failure

    * How A/B testing can increase velocity of and confidence in your software and product development