Andrei Lapets  [ | | | | | ORCID ]

Director of Research Development & Faculty Fellow Hariri Institute for Computing at Boston University

The Hariri Institute offers seed research funding for collaborative, interdisciplinary research efforts with a computational or data-driven component. Faculty can apply for research awards or nominate others for fellowships.

Accessible and Scalable Multi-Party Computation

We build open-source libraries and platforms that enable the development of practical web- and cloud-based applications that deliver MPC functionalities. Supported in part by NSF Grants #1718135 (PI) and #1739000 (Co-PI), IARPA HECTOR (Co-PI), as well as a grant from the Honda Research Institutes (PI).

Communications of the ACM Research Highlights

I serve as a coordinator for the Communications of the ACM Research Highlights Editorial Board. If you see a noteworthy publication in computer science with potential appeal to a broad audience, feel free to let me know.

Mobile & Electronic Health ARC

This affinity research collaborative (ARC) is a network of researchers interested in using web and mobile technologies to enhance and extend health interventions.

Digital Health Initiative (DHI)

This initiative aims to catalyze innovative solutions for the complex problems facing the health sector. Funding opportunities are available for faculty pursuing research efforts relevant to the mission of the DHI.

Director Software & Application Innovation Lab (SAIL) at Boston University

The lab consists of an experienced team of professional consultants and software engineers; it is open to collaborating on research efforts requiring computational, data science, or software engineering expertise (at any stage). Students interested in a software engineering internship are welcome to contact us.

Synthetic Biology and Computation

We are collaborating with CIDAR within the context of efforts such as the DARPA SD2 program and the Living Computing Project to develop databases, frameworks, languages, and algorithms that enable automated synthetic biology workflows.

Secure Multi-Party Computation Deployments

We help organizations such as the Boston Women's Workforce Council and the Greater Boston Chamber of Commerce use secure multi-party computation for aggregate data analytics. Results from past deployments have been announced and published in reports.

Associate Professor of the Practice Department of Computer Science at Boston University

I teach or have taught department courses on logic and combinatorics, linear algebra, abstract algebra, programming language theory and compilers, data science, secure multi-party computation, and software engineering. I also oversee undergraduate Computer Science students through UROP and directed studies, and serve as faculty adviser for students' Kilachand Honors College keystone projects.

Data Mechanics

A data repository and service platform to support educational and research efforts in data science and focusing on urban applications, being built concurrently with a graduate course on the topic.

Formal Verification, Usability, & Instruction

My research interests include the construction of formal modeling tools, automated verifiers, content management systems, and visualization libraries for use in classroom instruction.

  1. CS 591 V1/B2 Secure Multiparty Computation at Scale

    ( Fal. 2017, Fal. 2016 )

  2. CS 591 L1 Embedded Languages & Frameworks

    ( Fal. 2019 )

  3. CS 591 L1 Data Mechanics for Pervasive Systems & Urban Applications

    ( Spr. 2018, Fal. 2017, Spr. 2017, Fal. 2016, Spr. 2016 )

  4. CS 506 Computational Tools for Data Science

    ( Fal. 2018 )

  5. CS 504 Data Mechanics

    ( Spr. 2019 )

  6. CS 491 L1 Experiential Lab in Software Engineering (ELSE)

    ( Fal. 2017 )

  7. CS 320 Concepts of Programming Languages

    ( Fal. 2015, Spr. 2015, Fal. 2014, Fal. 2013 )

  8. CS 235 Algebraic Algorithms

    ( Spr. 2016, Fal. 2015, Spr. 2015, Fal. 2014, Spr. 2014, Fal. 2013, Fal. 2012 )

  9. CS 132 Geometric Algorithms

    ( Spr. 2013 )

  10. CS 131 Combinatoric Structures

    ( Spr. 2014 )

  11. MA 142 Introduction to Linear Algebra

    ( Spr. 2013, Spr. 2012 )

  12. QD 602x Business Analytics for Data-Driven Decision Making

    ( Sum. 2019, Spr. 2019, Fal. 2018, Spr. 2018 )

Scientific & Software Development Consultant

I have experience providing scientific consulting services to Raytheon BBN Technologies and Systems & Technology Research. I've worked with groups specializing in cybersecurity and quantum information processing on DARPA and IARPA programs such as Automated Program Analysis for Cybersecurity (APAC), Crowd Sourced Formal Verification (CSFV), Cyber Assured Systems Engineering (CASE), and Quantum Computer Science (QCS).

As a commercial software engineering consultant, I have experience developing systems that employ cloud computing services to deliver content and analyze data on a large scale, implementing natural language processing algorithms, adapting frameworks to serve as commercial web applications, and designing user interfaces.

Research Publications, Reports, & Other Materials

My broader research interests lie in modeling, assisting, and verifying formal and informal human reasoning, particularly within programming, mathematical modeling, and data analysis contexts.

I am currently interested in developing languages, tools, and platforms that help anyone building distributed systems and working with distributed and/or sensitive data to formally reason about the code they author along relevant domain-specific dimensions such as security and resource cost.

Other papers, surveys, notes, comments, and exercises

  1. Notes on concepts of programming languages. (section notes)
  2. Problem sets for a course on functional programming.
  3. Introductory notes on the theory of computation. (section notes)
  4. Survey: formal proof languages and cryptography.
  5. Comments on selected papers. (Ph.D. depth exam)
  6. Transformations on Simple Programs with Proofs.
  7. Refining Algebraic Data Types.
  8. Algebraic Semantics of DSLs. (A.B. thesis)
  9. The Ideal Class Group. (expository paper)
  10. Notes on nexus numbers and the divisor function.
  11. Works frequently cited by me. (BibTeX)

Pertinent, interesting, or amusing books and articles by others

  1. Conceptual Spaces by Gärdenfors.
  2. Where Mathematics Comes From by Lakoff and Núñez.
  3. Society of Mind by Minsky.
  4. Faith, hope, and love describes a fundamental problem in contemporary software science.
  5. Algebraic Flowers provides a context for some of my other opinions.
  6. Article by Minsky on AI, psychology, and language.
  7. Richard W. Hamming talks about scientific research.


In 2010, I earned my Ph.D. as a student within the Department of Computer Science at the Boston University Graduate School of Arts and Sciences. I was involved with the iBench Initiative and the Church Project, both as a participant and an organizer.

2010Ph.D.Computer Science
2007S.M.Computer Science
2007A.B.Computer Science and Mathematics

Until 2007, I attended Harvard University, SEAS and concentrated in computer science and mathematics. During my time there, I also participated in the Programming Languages Group.


I usually take a particular kind of photograph.