About Me

My name is Hao Hao Tan (郑豪好), or you can call me Harry. I am from Kuala Lumpur, Malaysia, and currently residing in Singapore. I am currently an AI & Audio Scientist at Universal Music Group, a member of the Music and Audio Machine Learning Lab (MAML).

I’m passionate about building technologies that enhance creative applications. My journey started with my thesis for my Computer Science degree at NTU Singapore, about a chord-based music generation system using LSTMs. Some work I did before UMG:

• Built some fun AI-powered features at BandLab to help budding musicians with their creative workflow;
• Worked on the (massive) feed recommendation system at TikTok;
• Built a deep learning–based music content ID system, originals and covers included, for a music startup called Fairphonic.

Sometimes I work on independent research / open-source projects, you can find them on my GitHub page. I’m generally interested about topics related to creativity, audio, (fun ways of) search & retrieval, and small on-device models.

I am a classically trained pianist, and (I think) I have a wide palette when it comes to listening music, ranging from Cantonese classics, Edvard Grieg to pure electronic beats. I love building my own playlists, see here if you are interested.

Feel free reach me at helloharry66 [at] gmail or @GoodGood014 on Twitter.