Liang Meng

Q: What is Liang Meng email address?

Email Liang Meng at jackymeng2003@gmail.com and liangmeng@fico.com. This email is the most updated Liang Meng email found in 2026.

Q: How to contact Liang Meng?

To contact Liang Meng send an email to jackymeng2003@gmail.com or liangmeng@fico.com.

Principal Scientist at FICO | Boston, Massachusetts, United States

About Liang Meng

As a Principal Scientist at FICO, Liang Meng is at the forefront of developing innovative B-to-B scoring solutions that leverage advanced statistical modeling and data analysis techniques. With a robust background in statistics and a keen analytical mindset, Liang is dedicated to solving complex real-world problems that businesses face in credit risk assessment and decision-making processes. His expertise in statistical modeling, coupled with proficiency in tools such as Matlab, R, and SAS, enables him to design and implement sophisticated algorithms that enhance the accuracy and reliability of predictive models.

Currently, Liang is leading key projects that focus on the integration of machine learning methodologies into traditional scoring systems, thereby improving the predictive power of B-to-B scores. His work involves extensive data analysis and time series analysis, allowing him to uncover valuable insights from large datasets. By employing econometric techniques and utilizing SQL for data manipulation, Liang ensures that the models he develops are not only statistically sound but also practical for real-world application.

In addition to his technical skills, Liang is an advocate for collaboration and knowledge sharing within his team, fostering an environment where innovative ideas can flourish. His contributions to FICO’s research and development efforts are instrumental in shaping the future of credit scoring, making it more accessible and effective for businesses of all sizes. As he continues to push the boundaries of statistical analysis and modeling, Liang Meng remains committed to delivering impactful solutions that drive business success and enhance financial decision-making.

Liang Meng Work