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Sanatan Upmanyu

About.

I’m a data-science executive with 18+ years spanning wet-lab biology, AI/ML engineering, HPC/cloud infrastructure, and leadership across pharma, biotech, and consumer health.

I architected the AlphaMeld™ platform — an end-to-end AI stack that accelerates target triage and indication selection for global drug-makers. My work covers clinical-trial design and enrollment prediction, digital-twin modelling, and large-scale knowledge-graph analytics.

I care about converting multimodal data into real business value, scaling cross-site teams, and forging the kind of partnerships that redefine R&D.

Career

  1. AlphaMeld GmbH (formerly InveniAI GmbH)now
    Head of Data Sciences – Site Head · Basel, Switzerland
    Dec 2020 – Present
    PythonNeo4jAWSReactLLMsKnowledge Graphs
    • — Leads development and deployment of the AlphaMeld Platform.
    • — Spearheads strategic AI/ML initiatives to enhance AlphaMeld/AlphaCompass capacity.
    • — Advises pharma/biotech companies on leveraging data science methodologies.
    • — Applied deep molecular biology expertise for MOA analyses and therapeutic target viability.
    • — Manages a data science team of 5 members.
  2. ArtiXio Pvt Ltdnow
    Chief Technology Officer · Remote
    Sep 2017 – Present
    ReactNext.jsTypeScriptGPT-4ClaudePostgreSQL
    • — Owns technology strategy, architecture, and delivery of Artixio's digital product portfolio — from concept to production.
    • — Conceptualized and built QuriousRI, a secure role-based regulatory intelligence platform covering pharmaceuticals, biologics, biosimilars, and generics across 12+ agencies (FDA, EMA, PMDA, NMPA, Health Canada, MHRA, Swissmedic, and more), with AI-assisted document analysis (GPT-4, Claude).
    • — Architected additional technology applications for the company, including an AI assistant that mines global regulatory updates and auto-drafts submission dossiers — opening a new non-pharma revenue channel.
    • — Directs enterprise-level data science and AI product development using Agile methodologies, ensuring adherence to global regulatory standards (FDA, EMA, ICH) across the drug development lifecycle.
  3. Apxora GmbHnow
    Co-Founder & AI/Data Science Head · Basel, Switzerland
    Dec 2024 – Present
    PythonLLMsReactAWSNeo4j
    • — Drives development and deployment of the ResearchNexus and Clinical Navigator platforms.
    • — Leads strategic AI/ML initiatives for detecting early innovation signals for emerging targets, novel therapeutics, and healthcare solutions.
    • — Supports the Asset Lifecycle Manager and Portfolio Management platforms.
  4. RenaissThera Pvt Ltdnow
    Scientific & AI Advisory Board · Remote
    Sep 2024 – Present
    AI StrategyDrug Discovery
    • — Advising on AI-driven strategies for early-stage drug discovery and translational research.
    • — Shaping the future of health through regulatory-aware innovation in digital and data sciences.
  5. Kstych Pvt Ltd
    Co-Founder | Director Data Sciences | Life Science Consultant · Gurgaon, India
    Jul 2012 – Aug 2023
    PythonRNLPMongoDBHadoopTableau
    • — Co-founded and led data sciences, applying statistical, mathematical, and predictive modeling to build algorithms for life-science research questions.
    • — Advised pharma and biotech firms on de novo, reformulation, repurposing, and drug-rescue strategies using real-world data.
    • — Built statistical predictive models using NLP and machine learning on RWD; led therapeutic target assessment and MOA analysis.
    • — Hands-on expertise in Python, R, KNIME, MongoDB, Hadoop, MySQL/MariaDB, Tableau, Gephi, and Cytoscape.
  6. InveniAI LLC
    Senior Director of Data Science · Hybrid Gurgaon IN / CT US
    Sep 2017 – Nov 2020
    PythonAgileData ScienceAI/ML
    • — Conceptualized, built, and executed innovative solutions throughout the drug development lifecycle.
    • — Managed enterprise-level data science products using Agile methodologies.
    • — Established short- to long-term strategies for Data Science and AI teams.
  7. BioXcel Corporation
    Director Data Sciences | Life Science Consultant · Gurgaon, India
    Nov 2010 – Jul 2017
    Data ScienceDrug RepurposingBig DataStrategy
    • — Directed drug repurposing and novel target hypothesis generation using big data and statistical techniques.
    • — Advised pharma and biotech firms on diverse scientific strategic projects, surveys, and future opportunity mapping (de novo, reformulation, repurposing, drug rescue) using real-world data.
    • — Managed and mentored a team of data scientists; partnered closely with US-based pharma and biotech clients.
    • — Led project management and strategy consulting efforts, providing scientific support to business development.
  8. Ranbaxy
    Research Biologist · Gurgaon, India
    Jan 2008 – Nov 2010
    Molecular BiologysiRNADrug Discovery
    • — Conducted siRNA targeted gene silencing for target-based drug discovery.
    • — Cloning, expression, purification, and activity analysis of human kinases, cytochrome P450 proteins, GPCRs, and bacterial enzymes — supporting enzyme- and cell-based NCE screening assays.
    • — Managed experiments using mammalian, baculovirus, and Dictyostelium expression systems.

Education