Hi, I'm Anna and I study data science at the University of Michigan exploring different ways computers and AI can interact with the real world. Currently, I am working on two exciting projects focused on research and development in pose estimation, generating multimodal synthetic data, and improving AI data privacy systems.I've had a pretty interesting journey so far when it comes to my professional pursuits. I've worked as a design engineer, a quantitative trader, and even managed an XR lab. I've also been lucky enough to be part of some really cool research projects, from analyzing carbon emissions in developing countries to exploring applications of deep learning in computational finance, and exoplanet characterization. Through all of these experiences I’ve been able to really hone in on my love of exploring the different ways we can have computers and AI interact in meaningful ways in the real world, and I hope to secure a job that will allow me to work on projects that do just that.See something that caught your attention? Awesome, let's chat! Shoot me an email at 16tesims@gmail.com
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Data Science InternJpmorganchaseUnited States
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Research FellowSpar ResearchUnited States -
Student DeveloperGoogle Summer Of CodeUnited States -
MemberRewriting The Code Nov 2024 - Present -
Ai AmbassadorIntel Corporation Oct 2024 - PresentDeveloped an AI party DJ using pose estimation for crowd behavior analysis and GNN data interpretation. Enhanced AI performance with multiple encoders and completed training in Intel Developer Cloud for further skill development.• Applied GNN for crowd movement analysis• Implemented multiple encoders for improved AI performance• Completed training in Intel Developer Cloud -
FellowCerebras Systems Oct 2024 - Present• Developed a highly adaptable LLM-based agent architecture for multi-agent cooperation using Cerebras inference.• Achieved significant speedup in processing large multimodal datasets compared to traditional GPU-based systems.• Collaborated with cross-functional teams to optimize system performance and enhance overall efficiency. -
Innovator FellowBytedance May 2024 - Present• Designed an open-source multimodal masking pipeline using synthetic data generation and pseudonymization to enhance AI model fine-tuning.• Integrated Apache Spark with BabitMF for high-performance video transcoding, reducing preprocessing time significantly.• Developed a parallel synthetic data generation pipeline incorporating video dense captioning and keypoint estimation for improved model accuracy.• Engineered audio transcription and synchronization for realistic synthetic video outputs, presenting at ByteDance workshops and Developer Summit. -
Xr Developer + Lab ManagerUniversity Of Michigan Oct 2022 - Present• Collaborated with interdisciplinary teams to design and deploy VR games and simulations at the University of Michigan.• Developed best practices for XR project development, ensuring efficient planning, execution, and evaluation processes. -
Founder.University - Cohort 6Launch Aug 2023 - Oct 2023 -
Research AssistantComputer Science And Engineering At The University Of Michigan Sep 2022 - May 2023Redesigned and modernized a trading market simulator, transitioning it from Java to Python for improved efficiency and functionality.• Enhanced the simulator's efficiency and functionality for more accurate testing and analysis.• Researched and developed deep learning models to test implications of effective deep hedging models in real-world markets. -
Sales And Trading AnalystGenesis Jun 2022 - Aug 2022New York, New York, United States• Remodeled Buhler’s Deep Hedging framework using Imaki’s no-transaction band network for optimal hedging strategies.• Developed a gamma volatility backtesting model using Ornstein-Uhlenbeck model for volatility predictions.• Utilized neural network architecture to identify optimal hedging strategies in incomplete markets. -
Research AssistantUniversity Of Michigan- School For Environment And Sustainability Jun 2020 - Feb 2022• Analyzed large emissions datasets to build emission comparison models for diesel and solar powered motorcycles.• Co-authored academic publication on 'Emissions impacts of electrifying motorcycle taxis in Kampala, Uganda.'• Contributed to research published in Transportation Research Part D: Transport and Environment. -
Design EngineerNexamp Jan 2021 - Jun 2021Boston, Massachusetts, United States -
Teaching AssistantUniversity Of Michigan College Of Literature, Science, And The Arts Jun 2018 - Aug 2018LSA - Comprehensive Studies Program Course: Math 105 -
Social Innovation Challenge FellowOptimize Nov 2017 - Aug 2018For more information about optiMize's incubator program visit https://www.optimizemi.org/sic
Teanna Sims Education Details
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Data Science
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Data Science
Frequently Asked Questions about Teanna Sims
What company does Teanna Sims work for?
Teanna Sims works for Jpmorganchase
What is Teanna Sims's role at the current company?
Teanna Sims's current role is Data Science Intern.
What schools did Teanna Sims attend?
Teanna Sims attended University Of Michigan, University Of Michigan College Of Engineering.
Who are Teanna Sims's colleagues?
Teanna Sims's colleagues are Duperval Numa, Venkatesh P., Olga Sorokina, Rahul Rao, Vinay Pirisingula, Leanna Pankiewitz, Chris Marynowski.
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