Dmitry A. Shulga


Ph.D. in chemistry (molecular modeling), MBA

Expertise and Services

Best of our experite to serve your projects.

Molecular modeling core expertise

  • Cheminformatics
  • Machine learning
  • Anisotropic electrostatics
  • Halogen bonding
  • Force field development
  • Conformational analysis
  • Molecular dynamics
  • Virtual screening/docking
  • Quantum chemistry

IT related expertise

  • Scientific sowtware development
  • Algorithm development
  • Numerical methods
  • Scripting processing pipelines
  • Robust optimization
  • Big Data analysis / Hadoop
  • Parallel computing
  • Cloud computing
  • Docker abstraction
  • Databases, SQL, BigQuery

Scientific metrics

Ph.D. in chemistry

25+ scientific papers


12+ scientific grants - in 5 as leader

At Lomonosov Moscow State University

supervision of:

  • 5 MS diploma
  • 4 graduate students

Med.Chem.Lab's personal page

IT best practices

  • Requirements gathering/negotiation
  • Agile/Scrum
  • Waterfall
  • MVP definition and inplementation
  • Crossfunctional teams
  • Test driven design
  • Code review

How we work

We value win/win approach to deliver best possible solution to address real customer needs within reasonable budget and time constraints.

Appreciate Agile

A means to accomplish the most meaningful work

  • Value MVP
  • Goals and means refinements as necessary
  • Incremental work using backlog

Startup thinking

Understanding startup mindset/reality

A.Osterwalder's canvas

Regular business

Processes, projects, hierarchy, leadership, functions

Six sigma

MBA degree


We believe our diverse experience helps to streamline the paths to successful project completion.

Short stats

  • 20+ years in IT and Drug discovery
  • 7+ years in business and B2B sales
  • 5+ years in startup environment

Contract RnD

  • Drug discovery
  • Polymer science
  • Adhesive research
  • Diffusion modeling
  • Dyes development

Innovations management

  • Assessment of corporate culture (AS IS)
  • Steps to enforce innovations (TO BE)

Viable network

  • Drug discovery researchers
  • Machine learners
  • Medicinal chemists
  • Senior management and owners

Customers and Partners