Jay Cho Email and Phone Number
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Forward-thinking professional with an extensive 15+ years background in Chemical & Materials Engineering and computational sciences, with a niche in semiconductors, nanotechnology, and thin films.Integrating materials science mastery with advanced machine learning / computer vision to spearhead R&D, solve complex problems, and push the frontiers of technological innovation. Stays abreast of the latest advancements in AI, including large language models and retrieval-augmented generation (LLM-RAG), to enhance research and drive progress. • Subject Matter Expert (SME) in Materials Science, Surface Chemistry, Nanofabrication, Electrochemistry, and Plasma Etching. Specialized in engineering highly optimized and robust processes for advanced material synthesis and device fabrication.• Hands-on experience in: AFM, EDS, EXAFS, FIB, FTIR (both in-situ / ex-situ), EIS, XPS, SEM, TEM, XANES, XRD, XRR, Thin Film Depositions (ALD, CVD, spin-coating, sputtering), Etching (Wet & Dry), Spectroscopic Ellipsometry, and computer vision based metrology / inspections.• Leveraging machine learning and advanced programming to address complex data-driven challenges. Proficient in Python (including libraries such as scikit-image, OpenCV, scikit-learn, TensorFlow, Keras, PyTorch), R (including tidyverse, tidymodels, shiny), and MATLAB. Demonstrated expertise in enhancing process efficiencies and developing predictive capabilities through innovative data analysis techniques.• Miscellaneous: US Citizen• I am always eager to take on new and challenging projects. Please feel free to contact me via LinkedIn Message (preferred) or email at jay@jaycho.net
Apple
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Data-Driven Adventurer @ - Energy Storage Research (Esr)Apple Jul 2020 - PresentCupertino, 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 clustering
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Senior Product Integration Engineer - Panel Process And Optics (Ppo)Apple Nov 2018 - Jul 2020Cupertino, 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 process development and implementationShipped Products:• iPad Pro M1 (2021)• Apple Watch Series 6 (2020)
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Senior Process Engineer / Data Scientist - System & Big Data / Ml EngineeringLam Research 2017 - Nov 2018Fremont, 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• SEM image analysis/processing with scikit-image/OpenCV -
Process Engineer - Conductor EtchLam Research May 2015 - 2017Fremont, 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 of $1B per year• 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 multivariable experimental parameters can be seen at: https://jaycholrc.shinyapps.io/jay-cel-dataviz/
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Graduate Student ResearcherUcla 2010 - 2015Los Angeles, Ca, UsAdvisor: 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 FTIR characterizations of ALD processes -
Teaching Assistant For 'Process Economics And Analysis’ ClassUcla 2012 - 2012Los 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
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Teaching Assistant For 'Semiconductor Processing Laboratory’ ClassUcla Mar 2011 - Jun 2011Los 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, metallization, statistical design of experiments and error analysis.
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Undergraduate Research AssistantUcla 2008 - 2009Los Angeles, Ca, UsAdvisor: 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
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Undergraduate Research AssistantUcla 2008 - 2009Los Angeles, Ca, UsAdvisor: 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
Jay Cho Skills
Jay Cho Education Details
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UclaChemical And Biomolecular Engineering -
CourseraDeep Learning Specialization
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UdacityDeep Learning Nanodegree
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CourseraData Science Specialization
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UclaChemical And Biomolecular Engineering
Frequently Asked Questions about Jay Cho
What company does Jay Cho work for?
Jay Cho works for Apple
What is Jay Cho's role at the current company?
Jay Cho's current role is Data-driven adventurer @ | Process Integration, Inspection, and Prognostics (Computer Vision & Machine Learning).
What is Jay Cho's email address?
Jay Cho's email address is ja****@****rch.com
What is Jay Cho's direct phone number?
Jay Cho's direct phone number is 510-572*****
What schools did Jay Cho attend?
Jay Cho attended Ucla, Coursera, Udacity, Coursera, Ucla.
What skills is Jay Cho known for?
Jay Cho has skills like Ni Labview, Originlab, Physics, Spectroscopy, R, Pecvd, Regular Expressions, Hrtem, Surface Chemistry, Electron Microscopy, Chemistry, Photolithography.
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