Robert Lindland
Quantitative Researcher
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolRobert Lindland is a quantitative researcher with eight years of experience applying machine learning, algorithms, and time-series methods to systematic trading and predictive modeling. An MIT Mathematics and Computer Science undergrad, he has moved between academia and finance—contributing novel imputation and model-selection techniques at CSAIL and Inria before deploying strategies at Seven Eight Capital and now Headlands Technologies. His background blends deep learning engineering (including a low-level DL library project and ASR work) with practical quant research, giving him fluency from prototype to production. Based in Chicago, he’s comfortable bridging theoretical rigor and real-world constraints in high-frequency environments. Colleagues note his knack for turning complex time-series insights into robust, deployable components—a skill honed through sustained research internships and trading roles.
8 years of coding experience
6 years of employment as a software developer
Mathematics and Computer Science, Mathematics and Computer Science at Massachusetts Institute of TechnologySaint Ignatius College Prep
Github Skills (8)
imputation10
dtw9
time-series-forecasting8
python6
machine-learning5
time-series5
forecasting5
human-activity-recognition4
Programming languages (2)
Github contributions (5)
rlindland/options-market-making
Jan 2018 - Feb 2019
Contributions:4 pushes, 1 branch in 1 year
rlindland/multivariate-lstm
Jun 2018 - Aug 2018
Contributions:23 pushes, 1 branch in 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.