AI + Life Sciences: A Collaboration to Meet the Moment

AIAI + Life + Life Sciences Sciences

A Collaboration to Meet the Moment

1

|

1

Director, AI + Life Sciences Samuel Scarpino

Samuel V. Scarpino, PhD, is the Director of AI + Life Sciences at the Institute for Experiential AI at Northeastern University and a Professor of the Practice in Health and Computer Sciences. He holds appointments in the Institute for Experiential AI and the Network Science, Global Resilience, and Roux Institutes.

Prior to joining Northeastern University in November 2022, Scarpino was the Vice President of Pathogen Surveillance at The Rockefeller Foundation and Chief Strategy Officer at Dharma Platform (a social impact, technology startup). Outside of these roles, he has over 10 years of experience translating research into decision support and data science/AI tools across diverse sectors from public health and clinical medicine to real estate and energy.

|

2

Vision

The global nexus for AI + life sciences for research, training, and entrepreneurship.

AI + Life Sciences

|

3

Northeastern University is the World Leader in Experiential Learning & Enterprise Collaboration #53

#1

#8

Overall Ranking (out of 443 U.S. Universities)

in Experiential Co-ops and Internship Programs*

Most Innovative Universities*

$230.7M+

$1.5B+

External Research Funding

Educational and Research Endowment

3,000+

9

Corporate Partners Across NU Worldwide Experiential Network

Interdisciplinary Institutes

* US News and World Report 2024

Our Global University System

AI + Life Sciences

|

4

State of AI in the life sciences 1. Poised to accelerate.

AI + Life Sciences

|

5

State of AI in the life sciences 1. Poised to accelerate.

2. Concerns about the pace of adoption.

AI + Life Sciences

|

6

State of AI in the life sciences 1. Poised to accelerate.

2. Concerns about the pace of adoption.

3. Proliferation of tools and algorithms.

AI + Life Sciences

|

7

State of AI in the life sciences 1.

2.

3.

4.

Poised to accelerate.

Concerns about the pace of adoption.

Proliferation of tools and algorithms.

Concerns about cybersecurity, ethical use, and bias.

AI + Life Sciences

|

8

State of AI in the life sciences 1.

2.

3.

4.

5.

Poised to accelerate.

Concerns about the pace of adoption.

Proliferation of tools and algorithms.

Concerns about cybersecurity, ethical use, and bias.

Investors are less experienced and decisions are complex.

AI + Life Sciences

|

9

State of AI in the life sciences 1.

2.

3.

4.

5.

Poised to accelerate.

Concerns about the pace of adoption.

Proliferation of tools and algorithms.

Concerns about cybersecurity, ethical use, and bias.

Investors are less experienced and decisions are complex.

AI + Life Sciences

|

10

State of AI + Life Sciences at Northeastern

● 90 core and applied AI faculty. ● Over 70 researchers working at the intersection of AI and life sciences. ● An AI Solutions Hub with data scientists and engineers focused on delivering value to your organization. ● An ethical and responsible AI practice, which is integrated across projects. ● An experiential education program and global footprint to provide in-person executive education, employee upskilling, and co-op opportunities..

AI + Life Sciences

|

11

We help partners advance via:

AI + Life Sciences

|

12

We help partners advance via:

Talent Acquisition

Upskilling Employees

Sponsored Research

Our co-op program includes undergrad, masters, and PhD students.

With proven courses, executive education, and workforce training, which can be customized to fit your organizational needs.

Advancing projects that need proof-of-concept demonstration and validation from leading researchers with experience delivering value for industry partners

Ethics in AI

Evaluation

Audit & evaluation + Development of algorithm that incorporate ethics principles

AI models running in production + Vendor and partner landscape + AI models in PoC phase + Investment opportunities

AI + Life Sciences

|

13

AI + Life Sciences at Northeastern Drug discovery ● Identifying novel biomolecules. ● Toxicity prediction. ● Smart trial design/enrollment. ● Drug repurposing and novel combinations.

LLMs for biology ● Prediction of function from genomic data. ● Pathogen risk stratification. ● Literature review and synthesis. ● Process optimization.

Systems Biology ● Integration of multi-omics data to improve diagnostics. ● Partition of diseases based on biomarkers. ● Earlier detection of disease and progression.

Education ● Employee upskilling. ● Talent pipeline via our coop program at the undergraduate, masters, and PhD-levels. ● Executive education and AI strategy development/assessment.

Wet-lab-in-the-loop ● Directed evolution for enzyme discovery. ● Rapid antibody discovery and testing. ● High-throughput, single cell multi-omics.

Biobank data analysis ● Automated data integration. ● Federated learning. ● Identification of novel biomarkers. ● Drug trial enrollment.

AI + Life Sciences

|

14

A Conversation with System Inc.

Adam Bly CEO and Founder, System Inc

Samuel Scarpino Director, AI + Life Sciences, Institute for Experiential AI

|

15

System of Health

AI + Life Sciences

|

16

System of Health

AI + Life Sciences

|

17

System of Health

AI + Life Sciences

|

18

System of Health

AI + Life Sciences

|

19

System of Health

AI + Life Sciences

|

20

Learn About AI + Life Sciences at Northeastern University!

ai.northeastern.edu

|

21