# Paolo D'Alberto

> Statistics /\​ Compilers

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/paolodalberto

Expertise: Mobile campaign lift, stochastic distance measures, correlation measures, compilers, high performance, and embedded computing.

## Work Experience
### Principal Software Engineer @ AMD
Jan 2022 – Present | San Jose, California, United States
Compiler Support to AI on FPGAs
Sparsity and blocked algorithms for AIE2 FPGAs

### Founder @ D.Lab
Jan 2005 – Jan 2023 | San Francisco Bay Area
This is a consulting-research project for the implementation of the Fast Matrix Multiplication using Winograd 's algorithms for high performance computing systems: symmetric and heterogeneous systems. Recently I have been working with GPUs ,  TR, and in the future with FPGAs.

### Principal Software Engineer @ Xilinx
Jan 2017 – Jan 2022 | San Jose, CA
Compiler support for the implementation of convolution networks into FPGAs. 
Inference as a Computation DAG, memory computation, instruction scheduling, graph optimization, weight reorganization, and code generation. Support for the third generation of FPGA kernels.
CNN Front ends: Caffe, TensorFlow, MXNET, and Keras.

### Principal Data Scientist @ NinthDecimal
Jan 2014 – Jan 2017 | Mountain View, CA
Large scale matching algorithms for the unbiased  computation of lift (7 patents) 
Deterministic geographical distributed graph algorithms for the computation of user profiles (features)
Lift as time series.

Currently all projects are unified using Spark-Meso clusters and writing applications in Python and MLib, and  we are moving away from Postgree (dedicated hardware) and R (still research and fast development are done in R)

### Director of Analytics @ Brand.net
Jan 2012 – Jan 2014 | san Matteo
time series forecast and  geo location targeting for brand advertising

### Research Engineer @ 33Across Inc.
Jan 2011 – Jan 2012 | Sunnyvale, CA
bridging research and engineering

### Member of the PC committee ICS 2012 @ ICS 2012
Jan 2011 – Jan 2012
PC committee ICS 2011 http://ics-conference.org/

### Sr. Software engineer @ Yahoo!
Jan 2007 – Jan 2011 | Sunnyvale, CA
Compiler Stuff (PIG)
Stochastic distance measure for anomaly detection 
Monitoring tools
Coverage tools
Linear Algebra: fast matrix multiplications [actually the fastest]

### Post Doc @ Carnegie Mellon University
Jan 2005 – Jan 2007
SW and HW partitioning of DFTs

### Ph.D. Computer Science @ UC Irvine
Jan 1998 – Jan 2005 | Irvine, CA
compiler optimisation for recursive algorithms

### Dottore di Ricerca @ University of Bologna
Jan 1996 – Jan 2000
Equivalent to a U.S. PhD  in Computer Science


## Education
### post doc in Electrical and Computer Engineering
Carnegie Mellon University

### PhD in Computer Science
UC Irvine

### Doctorate in Computer Science
Alma Mater Studiorum – Università di Bologna

### Laurea in Computer engineering
Università degli Studi di Padova


## Contact & Social
- LinkedIn: https://linkedin.com/in/fastmm

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Source: https://flows.cv/paolodalberto
JSON Resume: https://flows.cv/paolodalberto/resume.json
Last updated: 2026-04-12