Christopher Kirchner
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Christopher Kirchner Email & Phone Number

MS Quantitative and Computational Finance Candidate, Georgia Tech Scheller College of Business | 15 years experience in Quantitative Analytical Chemistry | Seeking internship in Quantitative Finance and Trading
Location: San Diego, California, United States 5 work roles 4 schools
1 work email found @arenapharm.com LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 86%

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Role
MS Quantitative and Computational Finance Candidate, Georgia Tech Scheller College of Business | 15 years experience in Quantitative Analytical Chemistry | Seeking internship in Quantitative Finance and Trading
Location
San Diego, California, United States

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Christopher Kirchner is listed as MS Quantitative and Computational Finance Candidate, Georgia Tech Scheller College of Business | 15 years experience in Quantitative Analytical Chemistry | Seeking internship in Quantitative Finance and Trading based in San Diego, California, United States. AeroLeads shows a work email signal at arenapharm.com and a matched LinkedIn profile for Christopher Kirchner.

Christopher Kirchner previously worked as Equity Options & Futures Trader at Independent and Scientist at Catalent Pharma Solutions. Christopher Kirchner holds Master'S Degree, Quantitative And Computational Finance from Georgia Tech Scheller College Of Business.

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Profile bio

About Christopher Kirchner

I trade SPY futures intraday, research the equity markets for option swings, and code novel indicators to understand and anticipate moves. Physics Candles is one indicator I published on TradingView that embeds lower timeframe volume and motion physics directly onto chart candles by color-coding intensity using outlier statistics. The indicator worked effectively in highlighting the recent bounce in the SPY off the 50% Mar 2020 retracement. I intend to contribute my human trading knowledge to the development of quantitative trading algorithms and machine learners. My interest in Quantitative Trading is the confluence of data analytical skills from over a decade of research and development in Analytical Chemistry and a hobby in computation that led to two degrees in Computer Science while working full-time in chemistry. Problem-solving and teamwork has been fused to my DNA though resolving the most analytically challenging hurdles with colleagues in a chemistry environment where “repeating” the same thing twice does not necessarily lead to reproducible results. An understanding of artificial intelligence and efficient algorithms improved chemistry troubleshooting and development performance. Binary search, constraint propagation, and domain partitioning are some non-traditional chemistry tools that quickly addressed non-determinant issues when depth-first-search hypothetical thinking was ineffective. Outside the lab, the Analytical Sciences allowed me to pursue data system administration, data process programming, interpretation and presentation, project and team management, analytical instrument or server configuration and qualification, as well as new technology innovation, including artificial intelligence programs to develop chemistry methods. I taught myself analytical data systems hardware, software, and server configuration out of a necessity to meet impending timelines amidst insufficient resources and malfunctioning equipment. I became the lead data systems tech in addition to my primary chemistry role. The best work environment for me has problems that require swift and proactive open-minded thinking where limitations just become a goal to surpass.Please feel free to contact me at ChristopherLeeKirchner@gmail.com

Listed skills include Chromatography, Mass Spectrometry, Hplc, Gc, and 31 others.

5 roles

Christopher Kirchner work experience

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

Equity Options & Futures Trader

Independent

Southeast Asia

May 2021 - Aug 2023

Scientist

Managed analytical chemist team in the development, optimization, and qualification of oral and injectable drug product methods for early clinical trials; guided team in experimental setup, conclusion, and discussion with clients; resolved development issues alongside members on-site and remotely.Led team with first assignment in resolving critical non-deterministic robustness issue that suspended a project’s drug product development, overturning 4 months of prior conclusions with 2 weeks of work.Oversaw, trained, and evaluated analytical interns to bolster department personnel with new talent; Led intern in the development and presentation of assay, uniformity, and impurity methods for a microgram scale drug product, increasing method sensitivity by several orders of magnitude while resolving poor accuracy, reproducibility, and interference issues.Challenged traditional analytical thinking and processes globally; collaborated with international statistics group in fostering statistical concepts and improving experimental setup and conclusions across sites; co-authored and jointly executed evaluation protocol with overseas parties to automate impurity method development using artificial intelligence software.Proactively innovated dissolution development using in-situ UV analysis for real-time analysis and feedback, eliminating manual sampling and traditional LC determination, and increasing data points by three orders of magnitude while halving human operation time; successfully adapted current resources to new applications.

May 2019 - Apr 2021

Research Scientist

Greater San Diego Area

Oversaw analytical development and method optimization for novel drug product formulations with specialization for CDMOs; led development and validation of methods for dissolution, assay, and impurity analysis, tested for analytical development and quality control, troubleshooted issues with equipment, and partnered with clients to address technical issues.Led projects to develop and implement testing of new formulations for early phase clinical trials, utilized validated analytical methods to support development, and optimized blend uniformity methods to minimize variation. Managed validation and implementation of analytical software, developed SOPs for setup of software, instruments, and servers, installed and tested new systems, and resolved process, software, and hardware issues; successfully launched new systems and improved uptime and productivity. Developed and optimized impurity methods, including stability-indicating analysis of combination products using dual-wavelength detection to separate impurities, and large instrument-modified injection volumes to achieve sensitivity requirements for poor chromophores with good chromatography.Formulated in-vitro dissolution methods for new immediate and extended-release products with unstable, high-adsorbing, and low-solubility actives using HPLC and NPLC.Served as technical liaison to clients, reviewed analytical methods, executed analytical tests, provided real time updates on results, and addressed questions on method development decisions.Supported analysts in troubleshooting experiments and validating methods, reviewed processes to identify inconsistencies, analyzed results, and implemented fixes.Led installation of CAD detector with HPLC, authored qualification protocol, interfaced CAD server with Empower and LC, worked with vendor to execute qualifications and resolve issues.

Mar 2016 - May 2019

Senior Research Associate

San Diego

Led development of analytical methods and quality control tests to assess drug substance assay and purity; advanced unique methodology for quantitating drug substances and impurities, implemented new software solutions to improve data accuracy, and supported personnel in use and troubleshooting of software and instrumentation. Developed and executed methods for small-molecule pharmaceuticals under GMP requirements, and R&D synthetic chemistry and formulation for early to late phase clinical trials, established new methodology for quantitating drug substances and impurities using quantitative nuclear magnetic resonance (qNMR), enabled earlier insights into quality of drug substances for optimizing synthetic routes with better analytical data. Spearheaded computerization of analytical sample submission system, utilized MS SharePoint to automate analytical assignments, reminders, and results, coded visual programming interface, developed specialized ajax requests to REST API to query data not available through existing interface, and debugged electronic logging system in real time. Served as Empower administrator, created custom field calculations and report templates to meet SOPs.Resolved critical intermediate-precision and analytical-reproducibility issues affecting accuracy. Developed cleaning verification and novel visual determination techniques for GMP equipment to exclude time-intensive HPLC and sampling procedures.Supported OOS manufacturing investigation by identifying makeup of mislabeled filter material using HPLC-UV, MS, and NMR. Developed set of impurity methods to analyze API’s related substances with different chemistries.

Jan 2006 - Dec 2015

Internship

La Jolla

Nov 2004 - Dec 2005
4 education records

Christopher Kirchner education

Master'S Degree, Quantitative And Computational Finance

Data Mining & Statistical Learning, Numerical Methods in Finance, Derivative Securities, & Fixed Income Securities

Master Of Science - Ms, Computer Science, 4.0

Specialization in Computational Perception and Robotics: Artificial Intelligence, Reinforcement Learning, Machine Learning for Trading.

Bachelor'S Degree, Computer Science, 4.0

Discrete Math, Data Structures, Architecture & Assembly, Web Development, Algorithms, Databases, Operating Systems, Software Engineering.

Bachelor’S Degree, Biochemistry, Cum Laude

General Chemistry, Organic and Inorganic Chemistry, Physics, Physical Chemistry, Analytical Chemistry, Metabolic Biochemistry, Molecular.

FAQ

Frequently asked questions about Christopher Kirchner

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What is Christopher Kirchner's role at their current company?

Christopher Kirchner is listed as MS Quantitative and Computational Finance Candidate, Georgia Tech Scheller College of Business | 15 years experience in Quantitative Analytical Chemistry | Seeking internship in Quantitative Finance and Trading.

What is Christopher Kirchner's email address?

AeroLeads has found 1 work email signal at @arenapharm.com for Christopher Kirchner.

Where is Christopher Kirchner based?

Christopher Kirchner is based in San Diego, California, United States.

What companies has Christopher Kirchner worked for?

Christopher Kirchner has worked for Independent, Catalent Pharma Solutions, Bioduro, Arena Pharmaceuticals, and Pfizer.

How can I contact Christopher Kirchner?

You can use AeroLeads to view verified contact signals for Christopher Kirchner, including work email, phone, and LinkedIn data when available.

What schools did Christopher Kirchner attend?

Christopher Kirchner holds Master'S Degree, Quantitative And Computational Finance from Georgia Tech Scheller College Of Business.

What skills is Christopher Kirchner known for?

Christopher Kirchner is listed with skills including Chromatography, Mass Spectrometry, Hplc, Gc, Laboratory, Gmp, Validation, and Nmr Spectroscopy.

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