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Iris Xia is listed as Math/Stats + MSCS @ Stanford | Quant Trading Intern @ IMC & CTC based in Stanford, California, United States. AeroLeads shows a work email signal at intel.com and a matched LinkedIn profile for Iris Xia.
Iris Xia previously worked as Quantitative Trading Intern at Chicago Trading Company and CS198 Senior Section Leader (TA) at Stanford University School Of Engineering. Iris Xia holds Master Of Science - Ms, Computer Science from Stanford University School Of Engineering.
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Iris Xia is a Math/Stats + MSCS @ Stanford | Quant Trading Intern @ IMC & CTC. She is proficient in Italian and Spanish.
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Chicago, Illinois, United States
• Rigorous study of options theory & mock trading; monitoring and analyzing live trades with risk managers on desk• Built advanced volatility time decay models for equity option markets, employing regression analysis and time series modeling, thorough data preprocessing and feature selection to enhance model performance
Stanford, California, United States
• Teach a weekly discussion section of ~15 students; design section content on topics like recursion & Big-O• Mentor students through personalized 1:1 feedback sessions, hold office hours, recruit & train new section leaders
Chicago, Illinois, United States
• Modeled forward rates and term structures based on short stock margins; analyzed extensive datasets of broker trade order flow to design innovative trading strategies for the index options desk• Designed and implemented a parallel computing trading simulation strategy that computationally managed positions, calculated theoretical values, and responded quickly to other traders in the market
Santa Clara County, California, United States
• Fine-tuned machine learning models for visual tech applications including 3D reconstruction & video interpolation• Designed and filed a patent on AR-based navigation and advertising solutions in autonomous vehicles. Collaborated with experts across teams and enhanced object detection for Intel's smart windshield technology
New York, New York, United States
Conducted in-depth market research and financial analysis to support investment decisions, and successfully sourced a deal to add to the company’s portfolio.
Stanford, California, United States
Worked in conjunction with the NASA Europa Clipper Mission to test a method of using a radar sounder to measure tides on Europa as part of the Stanford Earth Summer Undergraduate Research (SESUR) program in the Radio Glaciology Lab (June-August 2021). Integrated remote sensing measurements into a MCMC-based carbon cycle model as a part-time research assistant in the Remote Sensing Ecohydrology Lab (January-June 2021)
Santa Cruz, California, United States
Conducted research at UC Santa Cruz for two consecutive summers: Developed machine reading algorithms to analyze changes in sediment reworking behavior of marine organisms over time. Investigated and visualized anomalies in the emission lines of supermassive black holes.
Austin, Texas, United States
Analyzed remote sensing data to study post-wildfire vegetation recovery. Developed experience working with satellite imagery and geographic information systems.
Activities and Societies: CS145 (Databases) Course Assistant, CS198 Section Leading Artificial Intelligence Track
Activities and Societies: Residential Assistant, Stanford Science Olympiad, Golden Gate Science Olympiad, Stanford Wind Symphony, Stanford.
Activities and Societies: Sigma Xi Science Research Honor Society, Science Olympiad, Environmental Science Club, Tri-Music Honor Society.
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Iris Xia is listed as Math/Stats + MSCS @ Stanford | Quant Trading Intern @ IMC & CTC.
AeroLeads has found 1 work email signal at @intel.com for Iris Xia.
Iris Xia is based in Stanford, California, United States.
Iris Xia has worked for Chicago Trading Company, Stanford University School Of Engineering, Imc Trading, Intel Corporation, and Palm Drive Capital.
You can use AeroLeads to view verified contact signals for Iris Xia, including work email, phone, and LinkedIn data when available.
Iris Xia holds Master Of Science - Ms, Computer Science from Stanford University School Of Engineering.
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