I oversee end-to-end EDC build and maintenance across multiple studies, ensuring compliant, high-quality, and on-time delivery. My experience spans study startup through database lock and archival, including eCRF standards and design oversight, validation strategy, UAT execution, release management, migrations, and post-production support. I provide direction and oversight across study build activities, driving consistent execution, accountability, and adherence to data integrity and quality standards throughout the clinical trial lifecycle.

Scientist and AI leader specializing in computational biology and machine learning applications in biotechnology. Proven track record in developing novel statistical methods and AI-driven platforms for RNA therapeutics and cancer diagnostics. Experienced in leading large-scale research initiatives and translating complex biological problems into scalable computational solutions. Recipient of multiple awards including the NIH Ruth L. Kirschstein NRSA Postdoctoral Fellowship.

Experienced Consultant with a demonstrated history of delivering clinical IT projects for pharma, biotech/CROs with a Wharton Management Development Program, Kellogg Product Strategy and a Stanford Advanced Program Management from Stanford University. Anand is a tech savvy leader with interests in AI, big data, blockchain and use them to address the challenges faced by the life sciences industry. He is a big believer in product innovation and leads teams in product development. Anand loves participating in hackathons and social innovation activities in the life sciences/ healthcare space.

Biotech executive with 20+ years of experience driving innovation at the intersection of science, medicine, and technology. Currently VP, Head of Translational Medicine at Verge Genomics, where I built the function from the ground up and advanced neurology programs through Phase 2/3 readiness using FDA-validated biomarkers. Previously at Pfizer, I led cross-functional teams delivering novel digital endpoints, secured FDA/EMA alignment, and helped advance Ponsegromab from Phase 1 to Phase 2/3. At Biogen, I drove digital diagnostics initiatives, advanced technologies in Alzheimer’s and stroke, and helped spin out a new venture. I also founded a digital diagnostics startup, Usin’Life, which exited with a few assets. Passionate about advancing therapies for patients with high unmet medical needs, I bring expertise in translational medicine, biomarker strategy (digital & fluid), regulatory engagement, using technology ( including AI/ML !) and partnerships across biotech, pharma, and academia.

Strategic Clinical Development Leader | Oncology & Beyond I am a strategic and science-driven clinical development leader with 16+ years of experience shaping global drug development across oncology (solid tumors & hematologic malignancies), cardiovascular, rare, and specialty medicine. Over my career, I have:

• Directed global Phase I–III trials that informed pivotal approvals and label expansions
• Led NDA/BLA submissions resulting in successful global filings and regulatory milestones
• Built and guided high-performing cross-functional teams spanning Clinical Development, Biostatistics, Safety, Regulatory, and Clinical Operations
• Partnered with KOLs, CROs, and regulators to navigate complex development pathways I’m known for bringing clarity and structure to complexity, aligning science with strategy, and driving decisions that accelerate development while upholding patient focus and data integrity. As a senior leader, I thrive in fast-paced, matrixed environments where strategy, adaptability, and communication define success. I am also deeply committed to mentorship and talent development, ensuring teams grow alongside programs. Specialties: Oncology Clinical Development | Global Regulatory Submissions | Trial Oversight | Medical Monitoring | Portfolio & Pipeline Strategy | Cross-Functional Leadership | Data-Driven Decision Making

Broadly speaking, I am a research professional dedicated to improving access to healthcare services, the development of novel and effective treatments for disease prevention, symptom relief, and cures, and improving the quality of care through a reduction in the occurrence of medical errors. My particular set of skills, acquired through education and experience, have made me adept at working with the data essential to tackling these issues.

I lead R&D data enablement and data product strategy, building scalable, governed data foundations that transform data into a strategic asset across the Pharma R&D value chain. I focus on building high-quality, reusable, and interoperable operational data platforms and domain-specific data products that speed scientific outcomes, support advanced analytics and AI/ML, and deliver measurable business value. I work closely with stakeholders across Research, Clinical Development, Safety, Regulatory, and Portfolio & Project Management to ensure R&D data is discoverable, analytics-ready, and fit for decision-making. By applying data product thinking, strong governance, and modern data architecture principles, I help organizations move from siloed data to trusted, scalable, cross-domain insights. Core Competencies: R&D data foundations & data product strategy, Analytics- and AI/ML-ready data enablement, Data governance, Product Management, Clinical Data Management, Data Standards & Analytics, Decentralized Trials (DCT, DHT), Governance & Risk Oversight, AI & Digital Innovation, Stakeholder Management, Data Privacy & Security, Vendor Management, Design Thinking, Leadership Development, Certified Coach Technology, Tools, and Frameworks: Medidata Rave, Oracle Clinical, Veeva Clinical/Vault, Informatica, Reltio, Formedyx, Collibra, Python, VBA, Databricks, AWS Bedrock, UIPath, Redshift, SpotFire, Power BI, GCP, CDISC, 21CFRP11, RBQM, FHIR, CRISP-DM, V3+, LEAN

I’m a senior data and AI leader who builds production-grade data platforms and analytics foundations that make data trustworthy, accessible, and decision-ready at scale. My focus is on enabling self-service analytics, well-modeled datasets, and AI-powered data experiences across federated organizations. I currently lead enterprise data platform and analytics capabilities at Genmab, where I own a global lakehouse supporting thousands of users, PB-scale data, and mission-critical workloads across R&D and commercial teams. I’ve scaled global teams, owned multi-million-dollar platform budgets, and partnered closely with executives to align data strategy with business outcomes. Across biotech, consumer data, and consulting environments, I’ve built and operated data systems spanning ingestion, modeling, governance, analytics engineering, and AI enablement — balancing speed, trust, and operational rigor. Lastly, I'm passionate about building customer-centric data solutions embedded in federated domains, transformative enterprise capabilities and strategies, partner-centric collaboration, and creating great teams.

I’m a strategic innovation leader passionate about shaping the future through collaboration, foresight, and action, with 10+ years of cross-industry experience leading AI-driven transformation, and idea-incubation programs. At Takeda, I lead cross-functional teams that turn bold ideas into real-world impact. Whether designing AI-augmented solutions, facilitating innovation sprints, or running strategic foresight labs, my mission is to empower people and systems to work smarter, faster, and more meaningfully. In my experience, the key piece of a successful concept-to-launch process is creating focus for the team. This requires continuous prioritizing and fluency in both tech and laypeople speak. I’m genuinely and deeply curious about the subject matter in my care, and it helps me translate ambiguous challenges into bold, scalable solutions, launch enterprise-wide innovation initiatives, and lead high-performing teams to deliver lasting impact. With a background in business analysis, agile coaching, and startup consulting, I thrive at the intersection of creativity, technology, and human-centered design. I’ve launched noteworthy MVPs, guided 60+ innovation champions, and delivered measurable results in complex environments. If you're looking to future-proof your organization, foster a culture of experimentation, and lead with empathy—let’s connect.

Research scientist and team builder specializing in drug discovery, AI/ML, functional genomics, and RNA biology, with experience in clinical development from target identification through patient selection.

With over 10 years of experience in data sciences, clinical informatics, bioinformatics, and AI-driven analytics, I am a passionate leader and innovator in the clinical and genomics field. As the Director of Data Sciences at Illumina, I leverage advanced technologies to create data-driven solutions that improve patient outcomes and accelerate innovation in the genomics industry. My core competencies include working with real-world data (EHR systems), clinical trial analytics, population genetics workflows, drug target discovery, and multi-modal next-generation sequencing data. I have extensive knowledge and experience in Python, R, SQL, Java, C/C++, Cloud computing (AWS, Azure), and deep learning frameworks. I also have a strong background in software development, database design, and high-performance computing. I enjoy collaborating with cross-functional teams, mentoring aspiring data scientists, and sharing my insights and expertise with the scientific community. My mission is to harness the power of clinical and genomics data and AI/ML to advance precision medicine and healthcare.

Satish Dachepally is an Executive Director at Incyte Corporation focusing on Clinical Data Management areas. Satish has over 20 years of success in overseeing the collection, analysis, and reporting of clinical trial data.  He is adept at implementing industry standards and best practices, including CDISC SDTM and CDASH to ensure data integrity, compliance, and streamlined processes.  He is dedicated leader passionate about advancing clinical research through robust data management practices.  He made significant contributions to successful approval of multiple marketed drugs across diverse indications.  Satish earned a Master of Science degree from United Kingdom.

As a technology leader and life sciences domain expert, Sriram brings in a unique blend of management capability, end-to-end delivery expertise, consulting, architectural, and analytical skills. His areas of expertise include data science, machine learning, deep learning, big data, cloud services, behavioral sciences, business analytics, predictive analytics, data warehousing, business intelligence, and data management. He specializes in clinical systems, commercial operations, and digital marketing.

Lead project management, monitoring and data management initiatives for 500 projects, using expertise in leadership, analysis, evaluation, resource requirements, and technical tools to increase productivity, and to proactively create contingency plans that resolve significant issues. Extensive global leadership for 80 Biometric professions in the processing of large multi-central trials that achieved NDA/MAA submissions/approvals and post approval requirements, while managing Biometrics department P&L. Key strength areas include: DATA MANAGEMENT | PLANNING | METHODOLOGY EVALUATION | TECHNICAL | GLOBAL TEAM LEADERSHIP | DASHBOARD DEVELOPMENT | CROSS-FUNCTIONAL TEAMS | SOP DEVELOPMENT

Strategic leader with 20+ years in global drug development, driving data governance, AI innovation, and clinical transformation. I specialize in delivering scalable clinical applications and integrated data solutions that strengthen quality, compliance, and operational efficiency across GxP and non‑GxP domains. I’m known for building connected clinical ecosystems, mentoring cross‑functional teams, and aligning digital strategies with real patient impact. My leadership style blends clarity, calm authority, and emotionally intelligent decision‑making — especially in complex, high‑visibility environments. I’ve managed and mentored global teams to deliver multiple large‑scale digital initiatives, modernize clinical data flows, and enable automation that reduces operational burden. I’m focused on roles where I can shape strategy, own domains, and advance healthcare through analytics, automation, and thoughtful, human‑centered leadership.