Tyler Chase Email & Phone Number

Deerfield, Il, Us

* Develop supply chain data science tools* Develop IOT data science tools

San Francisco, California, Us

* Growth stage company building enterprise scale AI native SaaS applications in supply chain* Develop and deploy enterprise artificial intelligence applications for the supply chain using time series data* Improved efficiency of experiment tracking and improved machine learning reproducibility through development of internal tutorials and external blogs on MLFlow; this work ultimately got pulled into the SaaS product* data cleaning, unit tests, data visualization, presenting to stakeholders* Managing Demand Prediction Deployment (2022). Managed engineers and data scientists on configuration of demand tool across 2 countries for enterprise scale company and presented results to customer (Python/SQL)* Raw Material Inventory Management POC (2022). Wrote proof of concept for raw material inventory management tool for an enterprise scale cosmetics company using time series and machine learning methods.Resulting in an average lift of 18 percentage points over customer basline. (Python/SQL)

San Francisco, California, Us

I am part of a team developing enterprise artificial intelligence applications.

Menlo Park, Ca, Us

* International engineering and scientific consulting firm growing data science practice* Grow Exponent’s capabilities and business in the areas of data science, machine learning, and deep learning

San Francisco, California, Us

* Seed stage company automating time sheets through computer activity monitoring* Use machine learning and deep learning methods to improve a product for automating employee time sheets* Computer Activity Filter (2017). Used custom GloVe word embeddings and LSTM neural network to determine activities to filter in the timesheet application, resulting in 88.4% precision. (Python/TensorFlow)

Stanford, Ca, Us

* Studied to earn a PhD in applied Physics. * Deep Visual Learning of Reddit Images (2017). Used three convolutional neural networks to categorize posted images to relevant subreddits (65% acc), as well as auto-tag not-safe-for-work images (96% acc). Used multitask learning to boost performance and saliency maps to visualize important characteristics. (Python/TensorFlow)

Menlo Park, California, Us

I collaborate on studying ultrafast processes in materials at SLAC using the Linac Coherent Lightsource (LCLS), and the Ultrafast Electron Diffraction beamline (UED). Further characterization of sample is done at the Advanced Light Source (ALS) at Lawrence Berkeley National Laboratory, Stanford Synchrotron Radiation Lightsource (SSRL) at SLAC National Accelerator Laboratory, and the Advanced Photon Source (APS) at Argonne National Laboratory. The focus of my disertation was studying non-equilibrium phonons in metallic thin films following a femtosecond laser pulse using the UED beamline at SLAC.

I was the group's expert on data acquisition hardware and software. I was also an analyst for the data that was collected. I helped to create and test our flagship product called a Photoluminescent Solar Concentrator. Testing has shown that building a greenhouse out of these devices can improve plant growth and harvest energy more efficiently than plain silicon solar panels. I created prototype devices for NASA collaborations. I have developed prototype photoluminescent windows for lunar greenhouses. This work was shared in one talk and two poster sessions. I also developed prototype solar array shading screens using polymer dispersed liquid crystals (PDLCs).

Doctor Of Philosophy - Phd, Applied Physics

Bachelor Of Science (Bs), Physics