Work Experience
Lead Data Scientist at Honeywell
present - 06/2024
Guided data strategy, AI orchestration, and supported strategic decision-making across the organization.
Staff Data Scientist & AI Architect at Carrier
02/2023 - 06/2024
Guided data strategy, AI orchestration, and supported strategic decision-making across the organization.
- Identifies data trends, generates insights, and comes to business conclusions.
- Owning the overall aspects of data strategy, orchestration, governance, and industrializing AI-ML use cases.
- Supports strategic decision-making across the organization.
Data Scientist at Best Buy Co. Inc.
11/2022 - 02/2023
Support and contribute to the development of highly scalable systems based on machine learning techniques that provide batch and real-time scoring and inference as a service.
- Clustered customers by shopping behavior.
- Built a survival random forest model to predict customer value.
- Deployed systems on Google Cloud.
Data Scientist at Cardlytics, Inc.
12/2017 - 11/2022
Research and design machine learning algorithms and models for multi-step ahead time series forecasting. Data mining and feature engineering using frequent pattern growth. Develop and maintain production Python code of several data science projects
- Built Fast Fourier Transform and LSTM models for anomaly detection.
- Optimized ETL pipelines with a 300% performance boost.
- Implemented multi-step time series forecasting using TensorFlow and PyTorch.
Publications
Facile Fabrication of Composite Ag/Fe3O4 and Porous Fe3O4 Nanorods Based on Oblique Angle Co-Deposition.
Huang, W., Li, X., Ai, B., Zhao, Y.
The Journal of Physical Chemistry, 2021
Manipulation of Single Cells Using a Ferromagnetic Nanorod Cluster Actuated by Weak AC Magnetic Fields.
Zhu, L., Huang, W., Yang, F., Yin, L., Liang, S., Zhao, W., Mao, L., Yu, X., Qiao, R., Zhao, Y.
Advanced Biosystems, 1800246, 2019
Tissue Plasminogen Activator-Porous Magnetic Microrods for Targeted Thrombolytic Therapy after Ischemic Stroke.
Hu, R., Huang, S., Zhu, L., Huang, W., Zhao, Y., Jin, K., ZhuGe, Q.
ACS Appl. Mater. Interfaces, 10 (39), 32988-32997, 2018
Reconfiguring Ferromagnetic Microrod Chains by Alternating Two Orthogonal Magnetic Fields.
Cheng, R., Zhu, L., Huang, W., Mao, L., Zhao, Y.
J. Phys.: Condens. Matter, 30:315101, 2018
Manipulation of Magnetic Nanorod Clusters in Liquid by Non-Uniform Alternating Magnetic Fields.
Huang, W., Yang, F., Zhu, L., Qiao, R., Zhao, Y.
Soft Matter, 13:3750-3759, 2017
Dynamic Scaling of Ferromagnetic Micro-Rod Clusters under a Weak Magnetic Field.
Cheng, R., Zhu, L., Huang, W., Mao, L., Zhao, Y.
Soft Matter, 12:8440-8447, 2016
Multifunctional Iron Oxide-Carbon Hybrid Microrods.
Zhu, L., Huang, W., Rinehart, Z. S., Tam, J., Zhao, Y.
RSC Adv, 6:98845-98853, 2016
Magnetically Active Fe3O4 Nanorods Loaded with Tissue Plasminogen Activator for Enhanced Thrombolysis.
Huang, W., Hu, J., Huang, S., ZhuGe, Q., Jin, K., Zhao, Y.
Nano Res, 9:2652, 2016
Combinatorial Fabrication of Composite Nanorods Using Oblique Angle Co-Deposition.
Larson, S., Huang, W., Zhao, Y.
Nanotechnology, 27:365304, 2016
Porous Iron Oxide Nanorods and Their Photothermal Applications.
Larson, G., Huang, W., Zhao, Y., Murph, S. E. H.
Proc. of SPIE, 9919:991904-1, 2016
Acceleration of Tissue Plasminogen Activator-Mediated Thrombolysis by Magnetically Powered Nanomotors.
Huang, W., Cheng, R., Huang, L., Yang, B., Mao, L., Jin, K., ZhuGe, Q., Zhao, Y.
ACS Nano, 8(8):7746-7754, 2014
Catalytic Nanoshell Micromotors.
Huang, W., Manjare, M., Zhao, Y.
J. Phys. Chem. C, 117(41):21590-21596, 2013
A Monte Carlo Simulation Model for Surface Evolution by Plasma Etching.
Chen, F., Zhu, K., Chen, A., Huang, W., Feng, L., Zhou, Z., Ge, G.
Applied Surface Science, 280(1):655-659, 2013