Michael Nowotny
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Michael Nowotny Email & Phone Number

Krypton Labs, Inc at Krypton Labs
Location: Los Angeles, California, United States 9 work roles 2 schools
1 work email found @anderson.ucla.edu LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

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Work email m****@anderson.ucla.edu
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Current company
Role
Krypton Labs, Inc
Location
Los Angeles, California, United States

Who is Michael Nowotny? Overview

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Quick answer

Michael Nowotny is listed as Krypton Labs, Inc at Krypton Labs, based in Los Angeles, California, United States. AeroLeads shows a work email signal at anderson.ucla.edu and a matched LinkedIn profile for Michael Nowotny.

Michael Nowotny previously worked as Co-Founder and CEO at Krypton Labs and Founder at Startup In Stealth Mode. Michael Nowotny holds Ph.D., Finance from Ucla Anderson School Of Management.

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*@anderson.ucla.edu
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Profile bio

About Michael Nowotny

Michael is a former professor of Mathematical Finance at Boston University, where he focused on macro-asset pricing, dynamic portfolio optimization, and stochastic processes. Prior to co-founding Krypton, he worked in quantitative asset management, where he realized that the persistent inefficiencies in markets could be solved with better solutions in DeFi.Michael co-founded Krypton Labs to address these problems and bring about an era of blockchain-native investment management. Krypton’s flagship technology introduces a new exchange primitive to the marketplace: The Fully Continuous Exchange, first ideated by Fisher Black in the 1970s. This mechanism drives down the costs of trading and market making to levels not seen before in finance, opening up the design space for real world assets exchange and a new economics of portfolio management.

Listed skills include Econometrics, Statistics, Economics, Quantitative Analytics, and 39 others.

Current workplace

Michael Nowotny's current company

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Krypton Labs
Krypton Labs
Krypton Labs, Inc
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9 roles

Michael Nowotny work experience

A career timeline built from the work history available for this profile.

Co-Founder And Ceo

Current

Los Angeles, Ca, Us

Krypton is a fully decentralized crypto trading protocol that is resistant to miner extractable value (MEV), front-running, and adverse selection based on short-term information advantages.

Sep 2021 - Present

Founder

Us

Research into economically efficient exchange design, blockchain technology, and smart contract development

Apr 2021 - Aug 2021

Chief Scientific Officer/Co-Founder

Decentralized Crypto Derivatives Exchange Protocol

- Successfully raised $2.2M in venture capital as a co-founder- Conceptualized a comprehensive risk management approach based to guarantee probabilistic stability of the protocol, determine liquidation boundaries, and set pricing of positional imbalance- Developed agent based research simulation and analysis framework

Nov 2020 - Feb 2021

Founder

Archimedes

Conceptualized and developed a stat of the art Python software package for probabilistic programming with continuous-time processes that enables building arbitrary vector valued jump-diffusions from basic lego-like blocks for use in derivative valuation, dynamic asset allocation, and risk-management.The Python software library features the following:• Symbolic and numeric SDEs.• Automatic construction of Malliavin derivatives.• Automatic Monte-Carlo simulation using first and second order discretization schemes with GPU support.• Monte-Carlo based algorithm to solve dynamic asset allocation problems via the martingale method.• Automatic computation of symbolic and numeric mixed integer moments for affine and quadratic jump-diffusions.• Automatic computation of the conditional characteristic function of the transition density via adaptive time-stepping methods for affine and quadratic jump diffusions.• Efficient numerical integration using adaptive Gauss-Kronrod schemes for parallel computations of a panel of derivatives on the same underlying security.• Flexible combination of symbolic and numeric multivariate probability distributions for the construction of jump-size distributions.

Jul 2015 - Oct 2020

Consultant

Newport Beach, California, Us

• Leading the development of a modern research automation and research backtesting framework in Python.• Invented rational performance measures that account for the complete spectrum of statistical moments of the return distribution.• Conducting research on the half-life of cross-sectional equity signals• Conducting research on detection of backtest overfitting • Created a statistical resampling package in Python that features bootstrap routines for both i.i.d. data as well as dependent data (e.g. time-series) including algorithms for optimal block length selection.

Oct 2017 - Nov 2019

Assistant Professor Of Finance

Boston, Ma, Us

Member of the Mathematical Finance GroupBusiness School Teaching:- FE 445: Investment Analysis and Portfolio Management (Undergraduate), Instructor Rating: 4.81/5.0- MF 730: Portfolio Theory (Mathematical Finance Masters Program), Instructor Rating: 4.47/5.0Committee Membership: Mathematical Finance Program Development Committee

Jul 2011 - Jun 2015

Graduate Teaching Assistant

Los Angeles, Ca, Us

Teaching Assistant in the Fully Employed MBA Program:- Spring 2010: "MGMT 408: Securities Markets and Investments" (Professor Hanno Lustig)- Spring 2010: "MGMT 430: Corporate Finance" (Professor Geoffrey Tate)- Spring 2008: "MGMT 408: Securities Markets and Investments" (Professor Mark S. Grinblatt)Held TA sessions and office hours. Developed lecture notes, exercises, quizzes, and exam questions.

Mar 2008 - Jun 2010

Course Instructor

Los Angeles, Ca, Us

Developed and taught the 2 week block course "Matlab in Financial Engineering" for incoming students in the Master of Financial Engineering (MFE) programInstructor Rating 4.56 out of 5.0

Jan 2010 - Jan 2010

Software Developer

Extended core functionality of Brain International’s software technology by developing the middleware that leveraged their existing legacy IBM AS/400 Enterprise Resource Planning (ERP) system for modern ecommerce and enterprise integration.Conceptualized and built the first web frontend and ecommerce platform for Brain International’s legacy AS/400 based Enterprise Resource Planning (ERP) system XPPS. The application was based on Java technologies and enabled customers to build web shops using their existing hard- and software infrastructure. Main developer on a pilot project, deploying an e-business solution for an existing client of the legacy AS/400 based system.Brain International AG was a German software company that developed enterprise resource planning (ERP) software for mid-sized business.

Aug 1999 - Aug 2000
2 education records

Michael Nowotny education

Ph.D., Finance

Ucla Anderson School Of Management

Diplom, Economics

University Of Mannheim
FAQ

Frequently asked questions about Michael Nowotny

Quick answers generated from the profile data available on this page.

What company does Michael Nowotny work for?

Michael Nowotny works for Krypton Labs.

What is Michael Nowotny's role at Krypton Labs?

Michael Nowotny is listed as Krypton Labs, Inc at Krypton Labs.

What is Michael Nowotny's email address?

AeroLeads has found 1 work email signal at @anderson.ucla.edu for Michael Nowotny at Krypton Labs.

Where is Michael Nowotny based?

Michael Nowotny is based in Los Angeles, California, United States while working with Krypton Labs.

What companies has Michael Nowotny worked for?

Michael Nowotny has worked for Krypton Labs, Startup In Stealth Mode, Decentralized Crypto Derivatives Exchange Protocol, Archimedes, and Research Affiliates.

How can I contact Michael Nowotny?

You can use AeroLeads to view verified contact signals for Michael Nowotny at Krypton Labs, including work email, phone, and LinkedIn data when available.

What schools did Michael Nowotny attend?

Michael Nowotny holds Ph.D., Finance from Ucla Anderson School Of Management.

What skills is Michael Nowotny known for?

Michael Nowotny is listed with skills including Econometrics, Statistics, Economics, Quantitative Analytics, Stata, Data Analysis, Financial Modeling, and Macroeconomics.

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