Max Winston Email and Phone Number
I'm a data science leader with 7 years of industry experience in tech, where I've consistently delivered fundamental technology and practical successes for growing, fast-paced organizations. I am passionate about science and its rapidly evolving interface with machine learning and computational systems. I seek to help growing organizations in the drug discovery space build effective and transformative technology, with the end goal of improving medicine and the standard of care. I received my Ph.D. in Evolutionary Genomics from the University of Chicago in 2017, and have worked for three different technology organizations in a number of different capacities (both as team lead and individual contributor) following my academic career. Through these experiences I've developed a product-focused approach--starting with the end goals of the organization in mind, then working collaboratively to define and execute on a feasible vision with determination. Lastly, my clear communication skills help me bring critical results & insights to scientific teams and executive management alike, aligning different members of the organization to a common goal.Core Competencies:- Building, training, and managing teams of data scientists & engineers- Cross-functional collaboration & execution- Statistical modeling, experimental design, & power analysis- Extensive experience developing & deploying in cloud environments (GCP, AWS)- Scalable processing of large volume data, including high-throughput sequencing platforms- Building & deploying automated bioinformatic, chemoinformatic, & ML pipelines- Database design & build- Formulating & executing a clear data strategy- Mentorship, team-building, & facilitating a collegial team culture- Results-driven leadershipTechnical skills & languages: Python, SQL, R, BASH, Github, CircleCI, DBT, GCP, AWS, Mode, Retool
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Director Of Data ScienceApriori Bio Dec 2023 - PresentCambridge, Massachusetts, United StatesLeading a team to build out and mature Apriori's unique technology platform with the goal of creating more variant-proof protection against rapidly-evolving viruses. The Octavia platform is built around high-throughput deep mutational scanning data, but integrates several other enabling assays and ML to understand the translation of immune responses & in vivo efficacy.
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Director, Rx Creation & Clinical Data SciencesEqrx Sep 2021 - Sep 2023Cambridge, Massachusetts, United StatesBuilt out a digitally-native discovery process at EQRx for innovative therapies by leveraging several new advancements in deep learning, representation learning, chemoinformatics, & bioinformatics. Our primary goal was to increase the affordability and accessibility of novel therapies to patients by accurately capturing properties of interest within our predictive models. With increased accuracy, we can reduce our candidate dropout in clinical trialing stages, one of the major cost components of drug creation. Combined with efficient data representations and basic tech principles, we offer a significantly different vision for drug discovery than what exists in the market today.
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Director Of Data ScienceIndigo Jan 2021 - Sep 2021Previously directed a product-focused data science team responsible for building scalable models and integrating several data streams to generate insights and provide business value. During my tenure, the team successfully built out and deployed our own proprietary data product (MufaSA), which is capable of processing disparate data types from field experimentation (i.e. machine yield, remote sensing data, etc.) at scale to provide targeted performance insights on any generic intervention. MufaSA has leveraged hundreds of millions of machine & remote sensing observations across thousands of sites to successfully deliver timely insights to various internal and external customers through multiple automated tools. Field experiments analyzed by MufaSA cover a variety of complex experimental layouts with interventions across hundreds of thousands of acres in both domestic and international environments. The team also extended our work on machine data to help reduce friction for our customers (growers) via building an integration with third-party providers for the Indigo Carbon program. -
Senior Data Scientist, Team LeadIndigo Jan 2019 - Jan 2021Somerville, MaPreviously led a team to build scalable models and analytical tools to understand the performance of Indigo products across domestic and international environments. Leveraged machine learning and domain-specific physical models to facilitate agronomic decision-making from within the Insights software product, focusing on increased profitability and sustainability. Tools built by the team draw on a variety of ML and statistical techniques to integrate many in-house data sources, including machine, UAV, satellite, weather, temperature, soil, and microbial.
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Data ScientistIndigo May 2017 - Dec 2018Somerville, MaPreviously worked as a data scientist at Indigo to bring machine learning into microbial product development and scientific research pipelines. Collaboratively built the machine learning nomination process for our in-house product pipeline, which integrates disparate data types across several departments to improve hit rate and accelerate microbial product time to market. Built and led several automated microbiome solutions within R&D, including sequence processing, statistical modeling for targeted isolation, and network analysis for consortia building. Heavy emphasis on cross-functionality across departments and directing data-driven business goals.
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Phd - Committee On Evolutionary BiologyUniversity Of Chicago Sep 2011 - Jun 2017Hyde Park, Chicago, IlDe novo assembly of reduced-representation sequencing libraries in non-model organisms for population genomics and phylogenomics. Specifically, using harvested genomic information and numerous computational methods to test biogeographic models and understand the origins of Neotropical diversification. Additionally, exploring the relationship between the heritability of developmental plasticity and the evolution of a complex, plastic trait across spatiotemporal scales. Additional projects and collaborations include the use of bioinformatics to understand microbial diversity and interactions in soil. Research conducted at the Field Museum, University of Chicago, and Argonne National Labs. Website: http://home.uchicago.edu/~mewinsto/index.html -
Data Science R & D FellowshipCivis Analytics Sep 2016 - Dec 2016Worked on the Data Science Research & Development team exploring and implementing novel machine learning approaches to lookalike modeling. Approaches focused on combining neural network architectures (Keras//Tensorflow) with unsupervised techniques (clustering and low-dimensional embedding), optimizing for predictive performance. Software development and statistical analysis used a combination of open-source and proprietary tools, with code written in R & Python. -
Summer InternshipTempus, Inc. Jun 2016 - Aug 2016Greater Chicago AreaApplied knowledge of bioinformatics, statistical modeling, and machine learning to help build the most advanced data fusion platform in cancer care. Worked collaboratively on a team of multidisciplinary Ph.D. candidates, programmers, and statisticians to build a pipeline to transform raw phenotypic metadata into useful features for diagnostic and prognostic purposes. -
Energy AnalystElevate Energy 2009 - Sep 2011Reduced carbon emissions and helped affordable housing owners lower their energy costs through research and implementation of cost-effective energy efficiency measures. -
EducatorPrinceton In Asia Jun 2008 - Aug 2009Taught and developed science curricula at an international high school (Kwangju Foreign School). Courses included:- Biology- Chemistry- Algebra II- Earth Science- Environmental Science -
Research & DevelopmentState Of Vermont Jun 2006 - Aug 2006
Max Winston Education Details
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Ecology & Evolutionary Biology
Frequently Asked Questions about Max Winston
What company does Max Winston work for?
Max Winston works for Apriori Bio
What is Max Winston's role at the current company?
Max Winston's current role is Data Science Leader | Passionate about using data science & ML to improve medicine.
What schools did Max Winston attend?
Max Winston attended University Of Chicago, Princeton University.
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2wharton.upenn.edu, aeainvestors.com -
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Max Winston
Dallas-Fort Worth Metroplex
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