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My experience and skills are in generative AI, creative AI, artificial intelligence, machine learning, and robotics.
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Software EngineerParaqueryUnited States -
Machine Learning EngineerModyfi Apr 2024 - PresentLos Angeles, Ca, Us -
Co-Organizer, Neurips Creative Ai Track + The Neurips Workshop On Ml For Creativity And DesignNeurips May 2021 - PresentLa Jolla, Ca, Us⬝ Co-organizing the NeurIPS Creative AI Track and the NeurIPS Workshop Machine Learning for Creativity and Design since 2021, with folks such as with Jean Oh, Tom White, Yingtao Tian, David Ha, Mattie Tesfaldet, Daphne Ippolito, & Samaneh Azadi.⬝ Manage the online NeurIPS AI Art Gallery. -
Graduate Student ResearcherCarnegie Mellon University Robotics Institute Apr 2022 - Mar 2024Pittsburgh, UsConduced research on generative AI, large-language models (LLMs), and Stable Diffusion in CMU's Robotics Institute, using the Franka and XArm robot arms. Used an xArm robot arm to create physical paintings on canvas as part of the FRIDA RobotPainter project. Advised by Prof Jean Oh and Prof Jim McCann. -
Machine Learning Engineer, Part-TimePolae Sep 2020 - Sep 2022Developed live GAN-based machine learning interactions for the interactive immersive sci-fi film Polae (2021). World premiere at Tribeca 2021 Film Festival; Official Selection for the Immersive category.
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Red Team Openai ConsultantOpenai Mar 2022 - Apr 2022San Francisco, Ca, UsAttempted to "break" the closed DALLE-2 OpenAI model by getting it to generate harmful content, as a member of a selected 25-person team. OpenAI would then take the learnings from the red team's reports to release the generative AI model responsibly and mitigate harm before public release. -
Machine Learning BloggerRunway Sep 2020 - Dec 2021New York, Us⬝ Interviewed prominent ML researchers such as Devi Parikh, David Ha, and Rebecca Fiebrink for "Creative AI Conservations" video series.⬝ Created "Behind the Scenes" technical ML explainer videos foor RunwayML’s Research Blog. -
Creative DirectorExcelmandarin Feb 2018 - Aug 2021Seattle, Washington, UsArt Director leading The Living Characters project, teaching Chinese characters through art and illustration. Brought this to exhibition in Seattle Center in 2020 at Artists of Color Expo and Symposium (ACES), attracting an audience of over 300 people. -
InstructorArtificial Images Feb 2020 - Jun 2021Instructor and Curriculum Designer for the multi-week machine learning art courses with Derrick Schultz:⬝ Artificial Images RC2.1⬝ RunwayML In-Depth⬝ StyleGAN2 In-Depth⬝ Intro to ML Art with RunwayML⬝ Make ML Art with Google Colab⬝ Creating Image Datasets with ML Art⬝ Training Custom StyleGAN2 Models
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Adjunct ProfessorRhode Island School Of Design Jun 2020 - May 2021Providence, Rhode Island, UsAdjunct Professor of Machine Learning Art in the Graphic Design department, instructing the classes:⬝ Exhibiting Transdisciplinary Research, co-taught with Professor Agatha Haines in Spring 2021.⬝ RISD + Hyundai Motors Group Collaborative, co-taught with Professor Anastasiia Raina in Summer 2020. Work presented at University of Bergen in Norway. -
Ai Artist & SpeakerPartnership On Ai Jun 2020 - Sep 2020San Francisco, California, UsGave a talk at Gray Area in San Francisco on "How to Make AI Art Responsibly" with Emily Saltz and Claire Leibowicz. of Partnership on AI's AI Media & Integrity. Published a digital zine "A Field Guide to Making AI Art Responsibly", which has been featured in the journal DISEÑA, the AI Art festival ARTIFICIA, and Mozilla Festival 2021. -
Mentor, Artificial IntelligenceBackyard Studios Mar 2020 - May 2020Jeddah, SaMentoring 4-6 teams during the AI Artathon, which is held as a part of the Global AI Summit in Riyadh, Saudi Arabia. Teams consist of researchers, software engineers, artists, and designers. I give them advice and feedback on how to make artwork using AI and help them build their artistic concepts, over videoconference. This may include how to use StyleGAN, CycleGAN, style transfer, Google Colab, scrape images for a dataset, etc. -
Computer Vision Creative Ai ResearcherKaust Jul 2019 - Jan 2020Thuwal, Makkah, SaPresented a poster at the NeurIPS 2019 Workshop on Creativity. Devised a novel approach to generating creative artwork using GANs, and how to evaluate the results. Worked as a researcher in the Vision Creative AI Research Group (https://cemse.kaust.edu.sa/vision-cair), under Prof. Mohamed Elhoseiny. -
Machine Learning Software EngineerMeta Jan 2018 - May 2019Menlo Park, Ca, UsBuilding computer vision image classifiers to help keep harmful content off of Facebook. -
Product InternMeta Jun 2016 - Aug 2016Menlo Park, Ca, UsBuilt dashboard landing page for Recommendations, a Location-based product which launched near the end of my internship; visible from the front page newsfeed. Worked in PHP. -
Firmware Infrastructure InternTesla May 2015 - Aug 2015Austin, Texas, UsCreated a data visualization tool to visualize signal connections between Electronic Control Units on the ModelS from different release builds using angular,js, d3.js, and scons; deployed Wrote a full-stack web application to easily view diffs between specified build directories, and enabled it to accept glob patterns; used angular.js, foundation, and java; deployed Developed an Atlassian Stash plugin to automatically unapprove pull requests on Tesla's firmware repo; wrote automatic testing suite for it; deployed -
Big Data Intern- Global Market AnalyticsBny Mellon May 2014 - Aug 2014New York, Ny, UsIncreased robustness of a FX-rate-comparison system for clients by implementing data redundancy— replicated FX data on a Hadoop big data repository. •Developed low-latency software to fork high-volume FX quote data in real-time, from an Apache Kafka server to the Hadoop big data repository. •Loaded historic FX quote data from a MySQL server to the Hadoop big data repository using Apache Sqoop.Wrote specification document describing how to calculate Volume Weighted Average Price (VWAP), a metric that clients will see in the final FX rate comparison. -
Graphic DesignerMit Campus Activities Complex Oct 2013 - Jun 2014Designed posters, logos, event flyers, newsletters, and t-shirts in Photoshop.
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Software Development InternAlphadyne Asset Management Jan 2014 - Jan 2014New York, UsSaved traders time by developing a data analysis tool to search and graph DTCC trade data easily and automatically, rather than doing it manually. Improved data replication process for Chief Risk Officer by automating it with Excel VBA macros. Coded in Python and VBA, and used PyQt4, Matplotlib, and Pandas. -
Research Intern, Computer Vision And Robotics LabFordham University Jun 2011 - Aug 2011New York, Ny, UsLed independent project to use unsupervised machine learning (K.means clustering) to distinguish terrain types such as grass, blacktop, and mulch from point clouds. Collected terrain data with a stereocamera attached to a robot that I drove around campus. Coded in Python and used OpenCV and PCL (Point Cloud Library).
Lia Coleman Skills
Lia Coleman Education Details
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Carnegie Mellon University School Of Computer ScienceArtificial Intelligence -
Massachusetts Institute Of TechnologyComputer Science -
Stuyvesant High School
Frequently Asked Questions about Lia Coleman
What company does Lia Coleman work for?
Lia Coleman works for Paraquery
What is Lia Coleman's role at the current company?
Lia Coleman's current role is Software Engineer.
What is Lia Coleman's email address?
Lia Coleman's email address is lc****@****nai.com
What is Lia Coleman's direct phone number?
Lia Coleman's direct phone number is (800) 205*****
What schools did Lia Coleman attend?
Lia Coleman attended Carnegie Mellon University School Of Computer Science, Massachusetts Institute Of Technology, Stuyvesant High School.
What skills is Lia Coleman known for?
Lia Coleman has skills like Python, Java, Hadoop, Mysql, Vba, Pyqt, Matplotlib, Photoshop, Software Development, Big Data.
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