I am a researcher and machine learning engineer at Google Research working to build the next generation of sustainable solutions for agriculture. I am motivated by the potential of technology to solve the world’s most pressing challenges to create a positive impact for everyone, particularly in the areas of health, education and sustainability.

Previously, I have worked at Google Scholar using AI to make quality research more accessible to everyone, and at Google Medical Brain in collaboration with clinicians to collect, label, and curate training data for a diverse range of AI projects in medicine.

I received a dual bachelor’s degree in Math and Computer Science and a master’s degree with a concentration in AI from Stanford University. My academic research was conducted in the Stanford Vision Lab advised by Prof. Fei-Fei Li and Prof. Juan Carlos Niebles in conjunction with the Computational Neuroscience Laboratory under the guidance of Prof. Ehsan Adeli and Prof. Kilian Pohl. My research projects have focused on using computer vision to develop systems for Parkinson’s disease assessment and developing statistical techniques to reduce the effect of confounding variables on ML models.

Publications

• Metadata Normalization
  Mandy Lu, Qingqyu Zhao, Jiequan Zhang, Kilian M Pohl, Li Fei-Fei, Juan Carlos Niebles, Ehsan Adeli. Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  paper | code | Talk

• Quantifying Parkinson’s Disease Motor Severity Under Uncertainty Using MDS-UPDRS Videos
  Mandy Lu, Qingyu Zhao, Kathleen L Poston, Edith V Sullivan, Adolf Pfefferbaum, Marian Shahid, Maya Katz, Leila Montaser Kouhsari, Kevin Schulman, Arnold Milstein, Juan Carlos Niebles, Victor W Henderson, Li Fei-Fei, Kilian M Pohl, Ehsan Adeli. Medical image analysis, Volume 73, 2021.
  paper | code

• Vision-Based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson’s Disease Motor Severity
  Mandy Lu, Kathleen Poston, Adolf Pfefferbaum, Edith V Sullivan, Li Fei-Fei, Kilian M Pohl, Juan Carlos Niebles, Ehsan Adeli. Medical Image Computing and Computer Assisted Intervention (MICCAI), 23rd International Conference, Springer International Publishing, 2020.
  paper | code

• Automated abnormality detection in lower extremity radiographs using deep learning
  Maya Varma, Mandy Lu, Rachel Gardner, Jared Dunnmon, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Christopher Beaulieu, Katie Shpanskaya, Li Fei-Fei, Matthew P Lungren, Bhavik N Patel. Nature Machine Intelligence, Vol 1, Issue 12, 2019.
  paper

• Automatic Estimation of MDS-UPDRS Gait Scores from Videos with Multi-Rater Disagreements
  Ehsan Adeli, Edith V Sullivan, Mandy Lu, Qingqu Zhao, L Montaser Kouhsari, Maya Katz, Adolf Pfefferbaum, Kilian M Pohl, Victor W Henderson, Kathleen Poston. Movement Disorders, Vol 36, 2021.
  

Patents

• U.S. Patent No. 11,918,370. Systems and methods for estimation of Parkinson’s Disease gait impairment severity from videos using MDS-UPDRS.
  Mandy Lu, Ehsan Adeli-Mosabbeb, Kathleen Poston, Juan Carlos Niebles. Issued March 5, 2024.