I'm heavily impact-driven, and I want to solve real-world problems at scale. To me, this is part of the draw of computer science: the code I write can end up being used by millions of people. More specifically, I'm interested in distributed systems, storage, and large-scale analytics (aka "big data"), which fortunately have many applications to said real-world problems.

I also keep a bucket list of things that I want to accomplish. It's a way of ensuring that the big picture remains in view, even when you get caught up in the minutia of the day-to-day.

Professional Bio

Andrew Wang is a software engineer at Cloudera on the HDFS team. Previously, he was a PhD student in the AMP Lab at UC Berkeley, where he worked on problems related to distributed systems and warehouse-scale computing. He is a committer and PMC member on the Apache Hadoop project, and holds masters and bachelors degrees in computer science from UC Berkeley and UVa respectively.

Experience

See my research page for a listing of my academic projects and papers.

During undergrad, I also interned twice at NavigationArts, an enterprise web development company in McLean, VA, and once at SPAWAR Systems Center in San Diego, CA, working on low-cost, long-range, ship-to-ship wireless communication with commodity 802.11 parts.

Other activities

I try to keep myself distracted outside of work. I've taken up cycling since arriving in California, but my first love is for rowing, a sport I did for four years in high school with moderate championship success. These days, I'm also attempting to learn electric guitar. I still read for pleasure (philosophy, sci-fi, fantasy, history), but wish I had the time to make this a regular habit. Finally, I also like to cook and eat; I like hosting dinner parties for my friends and exploring new restaurants.