About me

I'm currently working as a Machine Learning Engineer at TikTok. My job mainly focuses on improving search experience (fine rank) for TikTok ShopTab.

I also did some research on Speech related fields, such as Text-to-Speech (TTS), Automatic Speaker Verification (ASV), etc.

Publication

  1. 3D-Speaker-Toolkit: An Open-Source Toolkit for Multimodal Speaker Verification and Diarization (2024, submitted)
  2. Source Tracing: Detecting Voice Spoofing (2022)
  3. Binary Neural Network for Speaker Verification (2021)
  4. DKU-CMRI System for the ASVspoof 2021 Challenge: Vocoder Based Replay Channel Response Estimation (2021)
  5. Residential Proximity to Major Roadways and Cognitive Function among Chinese Adults 65 Year and Older (2021)
Daniel lewis
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Daniel lewis

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Resume

Education

  1. Carnegie Mellon University

    2022 - 2024

    Master of Science in Intelligent Information Systems (MIIS) under School of Computer Science (SCS) Language Technology Institute (LTI).

    GPA: 3.93/4.0

  2. Duke Kunshan University

    2018 - 2022

    Bachelor of Science by Duke University and Duke Kunshan University, graduated in May 2022

    Major: Data Science GPA: 3.889/4.00

Experience

  1. TikTok Global-E-Commerce Search Team, Machine Learning Engineer

    2024 — Now

    Improve search experience for TikTok ShopTab by improving fine rank CTCVR model (upgrade model structure as well as adding new features) and applying business strategies.

  2. Alibaba DAMO Academy, Research Intern

    2023 — 2023

    Take advantage of Residual Vector Quantization (RVQ), Neural Codec, and Large Language Model (LLM) tech-niques to design and implement better Text-to-Speech (TTS) system

  3. SMIIP Lab, Student Worker

    2019 — 2022

    Conduct research on Automatic Speaker Verification (ASV), including: Binary Neural Networks for Speaker Verification, The application of Res2Net Module in Speaker Verification, DKU-CMRI System for the ASVspoof 2021 Challenge: Vocoder Based Replay Channel Response Estimation.

  4. Microsoft Cloud + AI, Research Intern

    2021 — 2021

    Conducted joint training of ASR TTS ASV models to enlarge data sources of small languages, and enhanced human-computer interaction for more languages and dialects over the world.

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