Robert Nicholas Moss Email and Phone Number
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Currently conducting research into trading strategies aimed at minimizing "information leakage," effectively concealing activity from broader market participants. This work has been published and driven new product development within the Proof Trading ecosystem.Additionally, develop machine learning models that facilitate live trading and educational Jupyter notebooks exploring the use of Python to quantitatively analyze and model US equity trading data. Emphasis on practical application. Relish independent research, inspired by collaborative work, passion for all things data science, and interdisciplinary in nature. Educated and employed at world renowned scientific institutions, I hold myself to a high professional and ethical standard. I consider the ability to effectively communicate complex and technical information to a diverse audience the hallmark of a great collaborator.✦ Areas of Expertise ✦• Data Science • Quantitative Research • Statistical Analysis • Machine Learning (ML) • Data Engineering • Data Modeling • Data Visualization • Python • NumPy • Pandas • Scikit-Learn • SciPy • SQL • Tableau • Data Privacy • Scientific Writing and Communication • Medical Laboratory Technology • Immunohematology • Biological Chemistry
Proof Trading
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- prooftrading.com
- Employees:
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Data Scientist And Quantitative ResearcherProof TradingNew York, Ny, Us -
Data Scientist/Quantitative ResearcherProof Trading Oct 2022 - PresentConducts and co-authors advanced published research into U.S. equity trading strategies, develops machine learning models that facilitate live trading, and extensive educational materials illustrating how to use of Python in performing quantitative research on large, noisy, non-gaussian equity trading data. • Co-author “Defining and Controlling Information Leakage in US Equities Trading”: published (PETS 2024). Presents a new framework for defining information leakage in the setting of US equities trading, and constructs methods for deriving trading schedules that stay within specified information leakage bounds. • Develop ML Models That Facilitate Live-Trading: clustering equities based on trading behaviors. Extension of published research. Improves estimations of typical trading behavior, facilitating quantitative models that direct trading decisions in real-time to be execute quicker, without activity becoming identifiable. Expected deployment into proprietary trading software 2024. • Develop Educational Quantitative Research Materials: illustrate the subtleties of performing quantitative research on large, noisy and non-gussian equity trading data using python programming language. Emphasis on practical application. Form: Jupyter Notebooks. Supplementary material for Quant textbook written by Allison Bishop. Public release 2024.- Topics: Exploratory Data Analysis, Data Engineering, Data Visualization, Data Normalization, Probability Distributions, Distributions Testing, Hypothesis Testing (A/B Testing and Monti-Carlo simulations), Machine Learning and Data Modeling. -
Clinical Laboratory Scientist Ii - Immunohematology DepartmentMemorial Sloan Kettering Cancer Center Jan 2017 - Jul 2020New York, Ny, UsEnsured biocompatibility and proper dosage of blood products for oncological patient population. Worked independently and in coordination with doctors , surgeons, medical directors, nurses, and anesthesiologists to provide life-saving and life-sustaining care in a high-risk and high-volume environment. Rotations in Three Labs Main Lab, Rapid Response Lab and Outpatient Lab. Lead scientist Rapid Response Lab 2020 COVID pandemic.LIMS used Haemonetics, SafeTrace Tx, Epic, Sunrise Clinical Manager. -
Academic Tutor Math And ScienceSt. Joseph'S College Ny Sep 2014 - Dec 2015Brooklyn, Ny, UsStaff Math and Science Tutor while in attendance. Courses tutored: Gen Chem, Physical Chem, Org Chem I/II, Inorg Chem, General Biology, Cellular Biology, Genetics, Stats I//II, Calc I/II, Physics I/II and MCAT Prep. -
Researcher - Experimental DesignWoolley Research Group Dec 2012 - Nov 2013CaDeveloped experimental protocols, instructor and student manuals for new bioinformatic technologies purchased by the Department of Chemistry. Partnered with Program Director and NMR Laboratory Manager. “Calculation of Ligand-Protein Interactions using Saturation Transfer Difference NMR”, and “Computational Analysis of Ligand Binding Interactions of Human Carbonic Anhydrase II Using MGL Tools and Auto-Dock Vina.”
Robert Nicholas Moss Skills
Robert Nicholas Moss Education Details
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The City College Of New YorkData Science And Engineering -
Center For Allied Health EducationClinical Laboratory Science/Medical Technology/Technologist -
St. Joseph'S University New YorkMedical Technology -
University Of TorontoSpecialist Biological Chemistry -
Langara CollegeChemistry
Frequently Asked Questions about Robert Nicholas Moss
What company does Robert Nicholas Moss work for?
Robert Nicholas Moss works for Proof Trading
What is Robert Nicholas Moss's role at the current company?
Robert Nicholas Moss's current role is Data Scientist and Quantitative Researcher.
What is Robert Nicholas Moss's email address?
Robert Nicholas Moss's email address is rm****@****kcc.org
What schools did Robert Nicholas Moss attend?
Robert Nicholas Moss attended The City College Of New York, Center For Allied Health Education, St. Joseph's University New York, University Of Toronto, Langara College.
What are some of Robert Nicholas Moss's interests?
Robert Nicholas Moss has interest in Philosophy Of Science, Social Services, Boxing, Literature, Philanthropy.
What skills is Robert Nicholas Moss known for?
Robert Nicholas Moss has skills like Protein Chemistry, Biochemistry, Nmr, Pcr, Protein Expression, Scientific Writing, Spectroscopy, Organic Chemistry, Biotechnology, Biology, Bioinformatics, Experimental Design.
Who are Robert Nicholas Moss's colleagues?
Robert Nicholas Moss's colleagues are Rodrigo Lacerda Benites, Paul Cesaretti, Bill Guinan, Adam Mckoy, Marcio Moreno.
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