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Awkwafina portrait

Actor

Awkwafina

Born 1988 · Stony Brook, Brookhaven, New York, USA

Nora Lum (born June 2, 1988), known professionally as Awkwafina (/ˌɔːkwəˈfiːnə/), is an American actress, comedian and rapper. She rose to prominence in 2012 when her rap song "My Vag" became popular on YouTube. She then released her debut album, Yellow Ranger (2014), and appeared on the MTV comedy series Girl Code (2014–2015). She expanded to films with supporting roles in the comedies Neighbors 2: Sorority Rising (2016), Ocean's 8 (2018), Crazy Rich Asians (2018), and Jumanji: The Next Level (2019). She won a Golden Globe Award for her starring role as a grieving young woman in The Farewell (2019). Since 2020, Awkwafina has been a co-creator, writer, and executive producer of the Comedy Central series Awkwafina Is Nora from Queens, where she also plays a fictionalized version of herself. In 2021, she portrayed Katy in the Marvel Cinematic Universe superhero film Shang-Chi and the Legend of the Ten Rings. She has also performed voice roles in the animated films Storks (2016), The Angry Birds Movie 2 (2019), Raya and the Last Dragon (2021), The Bad Guys (2022), The Little Mermaid, Migration (both 2023), Kung Fu Panda 4, and IF (both 2024). For starring and producing the TV movie Quiz Lady (2023), she won the Primetime Emmy Award for Outstanding Television Movie. Description above from the Wikipedia article Awkwafina, licensed under CC-BY-SA, full list of contributors on Wikipedia.

About WatchMind AI

WatchMind AI (WatchMind) recommends movies and TV using AI-assisted algorithms — taste profiles, semantic matching, and embedding similarity process your browsing, queue saves, ratings, and engagement into personalised picks: For You rails, daily suggestions, mood feeds, and match scores. Trailers, TMDb review excerpts, and licensed where-to-watch links support each pick. We do not host or stream full films or episodes.

Browse movies, TV series, and curated feeds such as Story Hunt. Title pages include synopses, cast, where-to-watch data from TMDb, and structured data for search engines. Personalised rails and your profile use optional Google sign-in (name, email, and account ID only to identify you — see the homepage section "What we collect and why"). The catalogue remains readable without an account.

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