Jay Cho Email & Phone Number

Cupertino, California, US

• Daily adventures: Cracking data conundrums, dispelling voodoo science, challenging the status-quo, and co-architecting transformative solutions
• Process Integration and Metrology: Optimizing process integration and metrology inspections required to enable next-generation materials and processes for 's advanced energy storage technologies
• Data Science (DS) / Machine Learning (ML) Driven Process Enhancement: DS / ML to develop and improve integration methods, achieving breakthroughs in process efficiency and economic viability
• Computer Vision (CV) Based Defect Detection Development: Development of CV / ML based defect detection via CNN, CAE, U-Net, and EfficientNet, along with t-SNE and DBSCAN for anomaly detection and high-dimension.

Cupertino, California, US

• Process Development: Spearhead the development of complex manufacturing processes, focusing on material selection, parameter optimization, and system design to meet new product design and functional requirements
• Process for Manufacturability: Ensure early and ongoing manufacturing input to guarantee new processes are scalable for high volume production
• Cross-functional Collaboration: Facilitate interactions with Product Design, Display Engineering, and Display Operations teams, along with international vendors, to integrate process development
• Advanced Feasibility Studies: Lead comprehensive feasibility studies for process technology, employing advanced theoretical simulations and innovative practical engineering methods to ensure robust and effective.
• iPad Pro M1 (2021)
• Apple Watch Series 6 (2020)

Fremont, CA, US

• Focused on equipment intelligence, concept & feasibility of computational products, and software enabled products: Data & ML (machine-learning) driven plasma etch process engineering and control
• Experimental lead responsible for delivering essential experimental data/expertise required for R&D of the next-generation advanced equipment & process control products
• Modeling of state-of-the-art semiconductor process (e.g: ALD, RIE, Oxidation, etc.) by SEMulator3D
• Development of R/Shiny codes for improved data processing, utilization, and visualization for both small (engineer generated experimental data) and big data (Lam tool logs/data based)
• Serving as a SME (subject matter expert) in a cross-functional team integrating engineer-generated manual process engineering data into Lam's big data & analytics platformSide Projects:
• Utilization of GAN to generate synthetic SEM images that emulates the physical behaviors observed in real experiments

Fremont, CA, US

• Research and development of plasma etching processes required for fabrication of the next-generation semiconductor architectures: Main technical lead for multiple projects worth $25M in a group with an annual revenue.
• Delivering novel etch process engineering solutions in FEOL (front-end-of-line) and BEOL (back-end-of-line) applications for 5nm, 7nm, 10nm, and 14nm logic nodes
• Weekly presentations to international customers in major semiconductor firms on the status of project, data analysis, and plans for joint development projects
• Wrote AutoHotkey scripts for Quartz-PCI software which increased the speed of daily S/TEM image analyses of fellow engineers (>50 people) by at least 200% (http://github.com/chojay/LamProductivity)
• Implementation of data science techniques (e.g: Data Visualization and Exploratory Data Analysis) to explore unforeseen/overlooked insights in complex plasma etch processes
• Write R & Shiny scripts/programs for a group of >50 engineers for much improved data analysis and design-of-experiments (DOEs): An example of a user-friendly data visualization interface built from scratch for.

Los Angeles, CA, US

• Advisor: Prof. Jane P. Chang
• Led development and characterizations of a thin film solid electrolyte for Li-ion microbattery applications via Atomic Layer Deposition (ALD)
• Successfully developed thin film (<50 nm) Li-ion solid electrolyte materials via ALD. One international and a U.S patent acquired
• Automated homemade ALD chambers through hardware modifications and development of a LabVIEW code
• Led development of in-situ Fourier Transform Infrared Spectroscopy (FTIR) ALD chamber to monitor the surface chemistries of novel ALD processes. Designed (using SolidWorks), assembled and successfully conducted in-situ.

Los Angeles, CA, US

• Held weekly lectures on chemical engineering fundamentals such as transport phenomena, thermodynamics, separation operations, reaction engineering, and simple economic principles
• Supervised and assisted undergraduate students on simulating a chemical plant using SimSci PRO/II CAD program

Los Angeles, CA, US

• Supervised/assisted undergraduate and graduate students on processing steps needed to make CMOS devices including wafer cleaning, oxidation, diffusion, lithography, chemical vapor deposition, plasma etching.

Los Angeles, CA, US

• Advisor: Prof. Yunfeng Lu
• Participated in studies of drug delivery of mesoporous silica by studying the release rate of encapsulated Rhodamine B as a drug model

Los Angeles, CA, US

• Advisor: Prof. Robert F. Hicks
• Assisted in studies of fluorinated silica glass film by atmospheric plasma enhanced chemical vapor deposition (PECVD) for optical and coated-film protection applications
• Studied the integration of boron carbide nanoparticles into fluorinated silicate films deposited by PECVD to improve the physicochemical properties of the film

Doctor Of Philosophy (Phd), Chemical And Biomolecular Engineering

Deep Learning Specialization

Deep Learning Nanodegree

Data Science Specialization

Bachelor Of Science (B.S.), Chemical And Biomolecular Engineering