Matthew Burke Email and Phone Number
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Matthew Burke personal email
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I’m a student at the University of Pennsylvania, where I am a member of the Jerome Fisher Program in Management & Technology Program (M&T). I will be graduating in May of 2025 with three degrees: - MSE in Data Science from the School of Engineering and Applied Sciences- BS in Economics from Wharton, with Concentrations in Finance and Statistics - BSE in Computer Science from the School of Engineering and Applied SciencesI enjoy working on projects at the intersection of technology and business and have been nominated as a Kleiner Perkins Fellow Finalist and as a University of Pennsylvania Entrepreneurship Fellow Finalist. I also was awarded over $160,000 for a merit-based scholarship through the Caroline D. Bradley Foundation. Being a good leader is more than getting others to follow; it is also understanding the value of relationships, mentors, and collaborators.At Dr. Van Savage’s computational biology lab at UCLA, I automated image processing and analysis to build AI models to detect cancers more accurately, allowing for earlier treatment. At USC with Dr. Stefan Schaal, I helped develop and program AI signal processing models to aid with pattern recognition in humanoid robotics, which will keep first responders out of life-threatening situations like collapsed buildings. At USC, I spent two summers working with Dr. Sideris in Electrical Engineering to train AI to design silicon photonic circuits, which will reduce energy consumption and lessen global warming.As president of Penn Quant Trading Club, grew membership from 30 to 600 members while bringing the first fully-funded online live trading crypto competition to campus.
University Of Pennsylvania
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Graduate Student In The School Of Engineering, Mse In Data ScienceUniversity Of PennsylvaniaPhiladelphia, Pa, Us
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Graduate Student In The School Of Engineering, Mse In Data ScienceUniversity Of Pennsylvania Jan 2022 - PresentPhiladelphia, Pa, UsExperience analyzing large data sets with rigorous statistical and ML/AI approaches, including classification, clustering, and regression. Currently, working on a team of six to build out HearSeer, an app to create a more productive email-based system, utilizing voice recognition and text summarization technologies. Collaborated on building a GPT NLP text generation tool for casting spells in Dungeons & Dragons. Forecasted album sales for the group Radiohead, employing advanced applied probability models. Predicted MLB pitch outcomes applying deep learning techniques. Employed big data analytical techniques to build a model tying predictive markets for the presidential election to stock market outcomes.
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Tmt Portfolio ManagerPenn Quant Trading Club Feb 2021 - PresentPhiladelphia, Pennsylvania, Us -
MemberPenn Quant Trading Club Oct 2020 - PresentPhiladelphia, Pennsylvania, Us
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PresidentPenn Quant Trading Club Aug 2021 - PresentPhiladelphia, Pennsylvania, UsDemonstrated interest in financial markets by expanded club membership from 30 to 600. Raised $70,000 for 20 teams to participate in first-ever live online trading competition, showing the ability to multitask, prioritize, work independently and within a team, as well as appetite for risk-taking. Succeeded in placing three teams on leaderboard in a competitive environment. Developed curriculum covering derivatives, cash equities, ETFs, bonds, fixed income foreign exchange (FX, market making, trading fundamentals and trading on simulated markets. Provided tools for quantitative research, as well as opportunities to develop programming experience and financial modeling skills, exemplifying drive to support self and others in continuous improvement. Taught mental math, probabilistic thinking and mathematical reasoning, strategy and market maker games.
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Research Intern, Sideris Analog & Rf Integrated Circuits, Microsystems & Electromagnetics Acme LabUsc Viterbi School Of Engineering Jun 2022 - Aug 2022Los Angeles, California, UsBuilt a tandem CNN to learn the structure of the photonic device design space more effectively. Improved designs by applying deep learning, particularly GANs, CNNs and convolutional autoencoders. Presented work at a scientific poster session, showing aptitude for critical and creative thinking across the quantitative and qualitative spectrum and excellent communication skills, as well as passion for scientific research. -
FounderAmaze Holdings, Llc Aug 2018 - Jun 2021Pasadena, Ca, UsConsulted LaunchX business and venture capital advisors for legal structure, name and branding; researched legal issues in creating a holding company; filed permits and taxes; determined pricing through competitor analysis and cost of producing goods. -
CofounderCord Restored Aug 2018 - Jun 2021Developed an electrical cord repair polymer product, which received a provisional patent. Selected as a Global Finalist at LaunchX Demo Day Entrepreneurship Competition at MIT, demonstrating comfortable in an entrepreneurial environment and a willingness to ask tough questions. -
Research Intern, Sideris Analog & Rf Integrated Circuits, Microsystems & Electromagnetics Acme LabUsc Viterbi School Of Engineering Jun 2019 - Aug 2019Los Angeles, California, UsConducted laboratory research in Analog and RF Integrated Circuits, applying current research in Generative Adversarial Networks to discover new photonic circuit designs. Applied creative problem-solving skills in designing circuits to be ten times faster than baseline,
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Research Intern, Prof. Stefan Schaal'S Humanoid Robotics, Computational Learning & Motor Control LabUsc Viterbi School Of Engineering Jun 2018 - Aug 2018Los Angeles, California, UsConducted computational learning and motor control research in a laboratory environment, requiring a strong attention to detail. Worked on statistical models and machine learning to program biometric robotics to perform simple tasks.
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Research Intern, Prof. Van Savage'S Ecology And Evolutionary Biology And Biomathematics LabUniversity Of California, Los Angeles Jun 2017 - Aug 2017Los Angeles, Ca, UsDeveloped mathematical computer-based models of vascular networks to identify and isolate disease markers. By applying machine learning and signal processing techniques to medical scans, the model was able to provide an improved diagnosis of abnormalities such as cancers and circulatory diseases, displaying an ability to learn quickly with clear intellectual curiosity and self-motivation in a culture focused on STEM research..
Matthew Burke Skills
Matthew Burke Education Details
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University Of PennsylvaniaData Science -
Jerome Fisher M&T ProgramMajor In Finance And Major In Stats
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The Wharton SchoolConcentrations In Finance And Statistics
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University Of PennsylvaniaConcentration In Data Science
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Polytechnic SchoolGeneral Studies And Humanities
Frequently Asked Questions about Matthew Burke
What company does Matthew Burke work for?
Matthew Burke works for University Of Pennsylvania
What is Matthew Burke's role at the current company?
Matthew Burke's current role is Graduate Student in the School of Engineering, MSE in Data Science.
What is Matthew Burke's email address?
Matthew Burke's email address is ms****@****ail.com
What schools did Matthew Burke attend?
Matthew Burke attended University Of Pennsylvania, Jerome Fisher M&t Program, The Wharton School, University Of Pennsylvania, Polytechnic School.
What skills is Matthew Burke known for?
Matthew Burke has skills like Machine Learning, Information Security, Research, Robotics, Computer Vision, Artificial Intelligence, Integrated Circuits, Data Mining, Image Processing, Circuit Design, Laboratory Skills, Data Analysis.
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