Precision Medicine · Computational Biology · AI

Swaminathan
Rajagopalan

Senior Director of Engineering — Precision Medicine & Computational Biology

Cellworks Group Inc. · San Francisco, CA

Experience19+ years
Team Built100+ members
Clinical Accuracy90–95%
Publications25+ peer-reviewed
Conference Output125+ presentations
Engineering the Backbone of Biosimulation Technology

Heads the engineering division at Cellworks Group — the backbone of Cellworks Biosimulation technology and its proprietary Computational Omics Biology Model (CBM): a mechanistic network of 6,000+ human genes, 30,000+ molecular species, and 600,000+ molecular interactions.

Led engineering of Singula™, Singula Lung™, and Ventura™ platforms powering personalized therapy biosimulation — predicting patient-specific Therapy Response Index (TRI) scores across multiple oncology indications. Singula Lung™ has undergone multiple prospective-retrospective validations across 1,700+ NSCLC patients.

Built 100+ member cross-functional teams spanning computational biology, AI/ML, and cloud infrastructure. Background in engineering coupled with deep understanding of cancer biology drives the platform's continued advancement.

Multi-Omic NGS Input CBM Engine 6,000+ genes 600K+ interactions TRI Score 0 – 100 Singula™ Singula Lung™ Ventura™ AWS HPC · HIPAA · CLIA · ISO 13485 · Validated SDLC
Core Domains
Computational Biology Biosimulation / CBM Cloud (AWS) Precision Medicine ODE / HPC HIPAA / FDA / CLIA
Professional Experience
Oct 2019 — Present
Senior Director, Engineering
Cellworks Group Inc.
San Francisco, CA
Singula™ & Singula Lung™ platform development Singula Lung™ — prospective-retrospective NSCLC validations (1,700+ patients) CBM: 6,000+ genes · 30,000+ molecular species · 600K+ interactions Ventura™ refractory drug combination biosimulation HIPAA-compliant AWS HPC — millions of biosimulations in parallel Multi-cancer expansion: AML · MDS · NSCLC · GBM · LGG · ESAD · PDAC CLIA lab · ISO 13485 QMS · Validated SDLC · FDA audit readiness 125+ conference presentations & 25+ peer-reviewed publications
Jan 2016 — Sep 2019
Engineering Manager
Cellworks Research
Bengaluru, India
End-to-end precision medicine HPC workflow iFEED — AI-powered NLP/ML text mining engine Multi-omic data automation (NGS · aCGH · RNA-seq) AWS auto-scaling compute for concurrent biosimulations
Apr 2008 — Dec 2012
Lead Computational Scientist
Cellworks Group
Bengaluru, India
Proprietary simulation engine — millions of cellular interactions Biocompiler & Bio-Assembly domain-specific language ODE solvers: Euler · Dormand–Prince · RADAU II A (stiff systems) CPU/GPU parallel HPC for mathematical modeling at scale
2003 — 2008
Earlier Roles
Cellworks · CSIR-IGIB · Bharath Univ.
Computational Research Scientist (2007–2008) Associate Bio-modeling Scientist (2006–2007) Lecturer, Bioinformatics — Bharath University (2004–2006) Research Associate — IGIB (CSIR), New Delhi (2003–2004)
Technical Expertise

AI & Machine Learning

PyTorchTensorFlowKerasScikit-learnXGBoostLightGBMHugging Face TransformersLangChainLlamaIndexRAG PipelinesFine-Tuning (LoRA/QLoRA)Prompt EngineeringOpenAI APIClaude APIAWS BedrockAzure OpenAISageMakerMLflowW&BFAISSPineconeVector DBsAgentic AIMulti-Agent SystemsJupyterLabONNXCox PH / Logistic RegressionKaplan-Meier / Survival Analysis

Cloud & Infrastructure

AWS EC2S3RDSLambdaIAMSageMakerComprehendRekognitionBedrockAzure OpenAI

Programming & Data

PythonC/C++RTCLPERLMySQLMongoDBFAISSGitSAS 9.4

DevOps & Practices

AgileDevOpsA/B TestingTDD/BDDOKRsCI/CDDockerMLflowW&B

Biosimulation & HPC

ODE SolversEuler/DP5/RADAUGPU ComputingPathway ModelingEnzyme KineticsMicroservices

Regulatory & Compliance

HIPAACLIAISO 13485FDA ComplianceQMSValidated SDLCPrompt Engineering
Publications & Clinical Studies
Co-authored 25+ peer-reviewed publications across high-impact oncology journals. Contributed to 125+ presentations with global collaborators.
J Thoracic Oncology · ASCO · WCLC

Singula Lung™ — NSCLC Validations

Prospective-retrospective validations: myCare-022-05 (446 pts, ASCO 2021), myCare-203A (453 VA pts, WCLC 2022), 2024 WCLC (553+710 Flatiron-FMI cohort). OS/PFS/CR prediction beyond NCCN-guideline and PD-L1 factors.

Blood — ASH

AML, MDS & ETP-ALL Biosimulation

myCare-020 (AML & MDS Singula™ classifier), myCare-023 (416 AML patients, TRI predicted CR p<0.0001). ETP-ALL computational classification with WES/aCGH genomic input.

J Clinical Oncology · IJRO

GBM, ESAD & Pan-Cancer

myCare-024 (GBM OS/PFS for 18+ NCCN therapies), myCare-004 (esophageal adenocarcinoma, Cambridge University). Studies across PDAC, LGG, and gastric cancer.

Institutional Research Partners
Dana-Farber Cancer Institute
Harvard Medical School
Mayo Clinic
Cleveland Clinic
Veterans Affairs (VA)
University of Nebraska
Cambridge University
Miami Cancer Institute
University of Pennsylvania
NYU Grossman School of Medicine
Patent & Projects
International Patent

System and Method for Development of Therapeutic Solutions

PCT/IB2013/060011 · WIPO WO/2014/072950
Personal AI Project · 2025

Enterprise AI Agentic Solution

Proprietary enterprise AI agentic solution achieving 90%+ accuracy with 25–30% cost reduction versus competitors. In evaluation with major enterprises.

Academic Background
Master of Technology, Bioinformatics
SASTRA University, India · 2002–2004
CGPA: 8.27/101st Rank — Genomics & Proteomics
Bachelor of Chemical Engineering
Annamalai University, India · 1997–2001
Percentage: 70%
Key Achievements

Multi-Cancer Validation

Platform validated across AML, MDS, NSCLC, GBM, ESAD, PDAC, ETP-ALL

3× Project Management Award

Cash awards for outstanding Program Management — three consecutive years

Foundational Algorithms

Created computational biology algorithms powering the entire platform

PDB Contribution

Deposited HPV E16 Onco Protein structure (PDB ID: 1VZN)

University 1st Rank

1st Rank in Genomics & Proteomics at University level

Best Teacher Award

"Best Teacher 2005–2006" — Bharath University, Chennai

Get in Touch

Palo Alto, CA